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  • 1.
    Berg, Henrik
    et al.
    Faculty of Computer Sciences, Østfold University College, Halden, Norway.
    Olsson, Roland
    Faculty of Computer Sciences, Østfold University College, Halden, Norway.
    Lindblad, Thomas
    Royal Institute of Technology, Department of Physics, Stockholm, Sweden.
    Chilo, José
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Automatic design of pulse coupled neurons for image segmentation2008In: Neurocomputing, ISSN 0925-2312, E-ISSN 1872-8286, Vol. 71, no 10-12, p. 1980-1993Article in journal (Refereed)
    Abstract [en]

    Automatic Design of Algorithms through Evolution (ADATE) is a program synthesis system that creates recursive programs in a functional language with automatic invention of recursive help functions and self-adaptive optimization of numerical values. We implement a neuron in a pulse coupled neural network (PCNN) as a recursive function in the ADATE language and then use ADATE to automatically evolve better PCNN neurons for image segmentation. Our technique is generally applicable for automatic improvement of most image processing algorithms and neural computing methods. It may be used either to generally improve a given implementation or to tailor that implementation to a specific problem, which with respect to image segmentation for example can be road following for autonomous vehicles or infrared image segmentation for heat seeking missiles that are to distinguish the heat source of the target from flares.

  • 2.
    Chilo, José
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Feature Extraction for Low-Frequency Signal Classification2008Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    The development of the International Monitoring System (IMS) for the verification of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) has led to a rapid revival of interest in infrasound. Furthermore, the installation of low-frequency sensors at seismic sites has increased in recent years, providing researchers with large and heterogeneous data-sets in near real-time. New techniques are needed to better process all of this data and to extract meaningful information quickly for various applications. In particular, there is a need to find distinct features in the infrasonic signals that allow one to distinguish low level nuclear tests from seismic events.

    In this thesis three methods for feature extraction from infrasound and other types of low frequency signal data are discussed: (1) discrete wavelets transforms (DWTs); (2) time scale spectra (TSSs) using continuous wavelet transforms (CWTs); and (3) empirical mode decomposition (EMD). The dimensionality of the feature space can range from a few to thousands. For processing high-dimensional data we use multi-modal data space to find low-dimensional structures. The advantage of this space is that multiple metrics of similarity are converted into one single Euclidean space.

    The overall goal of our research is a system for automatic identification and classification of low-frequency signals in real-time that is easy to implement in hardware. In this thesis we present our design and implementation of the discrete wavelet transform (DWT) on FPGAs for processing a continuous flow of data to obtain optimal extraction of feature information. FPGA simulation and implementation has been realized by using the polyphase structure, the filter reuse method and techniques such as pipelining and basic operations on the QUARTUS II platform. VHDL has been used to describe the functionality of the discrete wavelet transform and ModelSim has been used for the functional verification.

    Advancements in electronics provide a vital new option for implementation of low-frequency smart sensors that can perform signal processing close to the sensors and transmit the data wirelessly. These smart sensors can improve the efficiency of an automatic classification system and reduce the cost of actual infrasound microphones. The design of a digital wireless data acquisition system using a QF4512 programmable signal converter from Quickfilter Technologies, a MSP430 microcontroller from Texas Instruments and a F2M03GLA Bluetooth module from Free2move for infrasonic records is also presented in this thesis. The digital wireless data acquisition system has passed extensive laboratory and field tests (e.g. with man-made explosions).

    A study of using a miniature 3-axis fluxgate magnetometer to get fingerprints from ferrous objects is also presented in this thesis. In this experiment, distinguishing features of iron samples of four different shapes were determined using wavelet methods. Systematic differences were observed between the signatures of the four shaped iron samples.

  • 3.
    Chilo, José
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Filtering extracting features from infrasound data2006Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

     

    The goal of the research presented in this thesis is to extract features, to filter and get fingerprints from signals detected by infrasound, seismic and magnetic sensors. If this can be achieved in a real time system, then signals from various events can be detected and identified in an otherwise torrent data.

    Several approaches have been analyzed. Wavelet transform methods are used together with ampligram and time scale spectrum to analyze infrasound, seismic and magnetic data. The energy distribution in the frequency domain may be seen in wavelet scalograms. A scalogram displays the wavelet coefficients as a function of the time scale and of the elapsed time. The ampligram is a useful method of presentation of the physical properties of the time series. The ampligram demonstrate the amplitude and phase of components of the signal corresponding to different spectral densities. The ampligram may be considered as an analogy to signal decomposition into Fourier components. In that case different components correspond to different frequencies. In the present case different components correspond to different wavelet coefficient magnitudes, being equivalent to spectral densities. The time scale spectrum is a forward wavelet transform of each row (wavelet coefficient magnitude) in the ampligram. The time scale spectrum reveals individual signal components and indicates the statistical properties of each component: deterministic or stochastic.

    Next step is to distinguish between different sources of infrasound on-line. This will require signal classification after detection is made. The implementation of wavelet – neural network in hardware may be a first choice. In this work the Independent Component Analysis is presented to improve the quality of the infrasonic signals by removing background noise before the hardware classification. The implementation of the discrete wavelet transform in a Field Programmable Gate Array (FPGA) is also included in this thesis using Xilinx System Generator and Simulink software.

    A study of using infrasound recordings together with a miniature 3-axis fluxgate magnetometer to find meteorites as soon as possible after hitting the earth is also presented in this work.

  • 4.
    Chilo, José
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Low-Frequency Signal Classification: Filtering and extracting features from infrasound data2008Book (Other academic)
  • 5.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Horvath, György
    Lindblad, Thomas
    Olsson, Roland
    A Flexible Electronic Nose for Odor Discrimination Using Different Methods of Classification2009In: IEEE NPSS Real Time Conference 2009, New York: IEEE , 2009, p. 317-320Conference paper (Refereed)
    Abstract [en]

    Ovarian cancer is one of the leading causes of death front cancer in women. The lifetime risk is around 1.5%, which makes it the second most common gynecologic malignancy (the first one being breast cancer). To have a definitive diagnose, a surgical procedure is generally required and suspicious areas (samples) will be removed and sent for microscopic and other analysis. This paper describes the result of a pilot study in which an electronic nose is used to "smell" the aforementioned samples, analyze the multi-sensor signals and have a close to real-time answer on the detection of cancer. Besides being, fast. the detection method is inexpensive and simple. Experimental analysis using real ovarian carcinoma samples shows that the use of proper algorithms for analysis of the multi-sensor data front the electronic nose yielded surprisingly good results with more than 77% classification rate. The electronic nose used in this pilot study was originally developed to be used as a "bomb dog" and can distinguish between e.g. TNT. Dynamex. Prillit. However, it was constructed to be a flexible multi-sensor device and the individual (16) sensors call easily be replaced/exchanged. This is suggestive for further investigations to obtain even better results with new, specific sensors. In another pilot experiment, headspace of an ovarian carcinoma sample and a control sample were analyzed using gas chromatography-mass spectrometry. Significant differences in chemical composition and compound levels were recorded, which would explain the different response obtained with the electronic nose.

  • 6.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Horvath, György
    Department of Oncology, Sahlgrenska University Hosp. Gothenburg.
    Lindblad, Thomas
    Department of Physics, Royal Institute of Technology.
    Olsson, Roland
    Department of Computer Science, Ostfold University College, N-1757 Halden, Norway.
    Electronic Nose Ovarian Carcinoma Diagnosis Based on Machine Learning2009In: Advances in Data Mining: Applications and Theoretical Aspects, Berlin: Springer Berlin / Heidelberg , 2009, p. 13-23Chapter in book (Refereed)
  • 7.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Jabor, Abbas
    Liszka, L.
    Eide, Å.J.
    Lindblad, T.
    Bergkvist, L.P.
    Stahlsten, T.
    Andersson, B.L.
    Karasalo, I.
    Cederholm, A.
    Filtering and extracting features from infrasound data2005In: Real Time Conference, 2005, 2005, p. 451-455Conference paper (Refereed)
  • 8.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Jabor, Abbas
    Liszka, L.
    Ejde, Å.J.
    Lindblad, Th.
    Persson, L.
    Infrasonic and Seismic Signals from Earthquake and Explosions in Arequipa, Perú2006In: Western Pacific Geophysics Meeting., 2006Conference paper (Other academic)
  • 9.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Jabor, Abbas
    Royal Institute of Technology, Department of Physics, Stockholm, Sweden.
    Lizska, Ludwik
    Swedish Institute of Space Physics in Umeå, Sweden.
    Eide, Åge J.
    Ostfold University College, Halden, Norway.
    Lindblad, Thomas
    Royal Institute of Technology, Department of Physics, Stockholm, Sweden.
    Obtaining “images” from iron objects using a 3-axis fluxgate magnetometer2007In: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, ISSN 0168-9002, E-ISSN 1872-9576, Vol. 580, no 2, p. 1105-1109Article in journal (Refereed)
    Abstract [en]

    Magnetic objects can cause local variations in the Earth's magnetic field that can be measured with a magnetometer. Here we used tri-axial magnetometer measurements and an analysis method employing wavelet techniques to determine the "signature" or "fingerprint" of different iron objects. Clear distinctions among the iron samples were observed. The time-dependent changes in the frequency powers were extracted by use of the Morlet wavelet corresponding to frequency bands from 0.1 to 100 Hz.

  • 10.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Karlsson, Carl
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Ängskog, Per
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Elofsson, Carl
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Stenumgaard, Peter
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Characterizing electromagnetic interference in vicinity to a railway freight train2009In: Proc. IEEE Int. Symp. on EMC/EMECO, Saint-Petersburg, 2009, p. 23-26Conference paper (Refereed)
  • 11.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Karlsson, Carl
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Ängskog, Per
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Stenumgaard, Peter
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    APD measurements for characterization and evaluation of radio interference in steel mill2009In: Proceedings IEEE nternational Symposiumon EMC, Kyoto, 2009, p. 625-628Conference paper (Refereed)
  • 12.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Karlsson, Carl
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Ängskog, Per
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Stenumgaard, Peter
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    EMI disruptive effect on wireless industrial communication systems in a paper plant2009In: Proc. IEEE EMC Symp. Austin-Texas, 2009, p. 221-224Conference paper (Refereed)
    Abstract [en]

    It is well known that industrial and factory environments present considerable challenges for wireless communications. Because every industrial environment is different, and may offer a unique set of obstacles to effective wireless communication, a site characterization is needed at first step in determining improvements of existent wireless technologies to increase the reliability. In this work electric field strength and APD measurements have been performed to characterize electromagnetic interference in an industrial paper plant. Common characteristics of the industrial environments affecting wireless communication were identified. Additionally, results show high interference levels at the frequencies for the DECT band 1880-1890 MHz. The interference level is correlated to the working mode of the electrical engines used in the process.

  • 13.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Karlsson, Carl
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Ängskog, Per
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Stenumgaard, Peter
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Impulsive noise measurement methodologies for APD determination in M2M environments2009In: Proc. IEEE EMC Symp. Austin-Texas, 2009, p. 151-154Conference paper (Refereed)
    Abstract [en]

    Wireless communications in industrial environments are maintained under persistent adverse conditions, such as noise, fading and many electromagnetic interference sources. These electromagnetic interferences exhibit usually impulsive characteristics and it can seriously degrade the performance of the current wireless systems. Over the last few years, the amplitude probability distribution (APD) had been formally written into CISPR16 as a measure of the emitted electromagnetic energy from electrical equipment. In this approach we present two APD measurement methods. The first method based on 12-bit A/D converter and the second one based on in-phase and quadrature components of the impulsive noise at frequencies between 20 and 3000 MHz. Electromagnetic interference measurements in three different industrial environments were performed using the developed methods with promising results.

  • 14.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Kinser, Jason
    Lindblad, Thomas
    Discrimination of Nuclear Explosions Sites by Seismic Signals using Intrinsic Mode Functions and Multi-Modal Data Space2008In: IEEE International Geoscience and Remote Sensing Symposium, 2008, p. 895-898Conference paper (Refereed)
  • 15.
    Chilo, José
    et al.
    Royal Institute of Technology, Stockholm, Sweden.
    Lindblad, Thomas
    Royal Institute of Technology, Stockholm, Sweden.
    A Low Cost Digital Data Acquisition System for Infrasonic Records2007In: 4th IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Piscataway, NJ: IEEE , 2007, p. 35-37Conference paper (Other (popular science, discussion, etc.))
  • 16.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Lindblad, Thomas
    Data Acquisition and Digital Filtering for Infrasonic Records on Active Volcanoes2007In: Sensors & transducers, ISSN 1726-5479, Vol. 77, no 3, p. 1058-1064Article in journal (Refereed)
  • 17.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Lindblad, Thomas
    Obtaining images from iron objects using a 3-axis fluxgate magnetometer2006In: International Conference on Imaging Techniques in Subatomic Physics, Astrophysics, Medicine, Biology and Industry, 2006Conference paper (Refereed)
    Abstract [en]

    Magnetic objects can cause local variations in the Earth's magnetic field that can be measured with a magnetometer. Here we used triaxial magnetometer measurements and an analysis method employing wavelet techniques to determine the "signature" or "fingerprint" of different iron objects. Clear distinctions among the iron samples were observed. The time-dependent changes in the frequency powers were extracted by use of the Morlet wavelet corresponding to frequency bands from 0.1 to 100 Hz. (c) 2007 Elsevier B.V. All rights reserved.

  • 18.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik. Royal Institute of Technology, Stockholm, Sweden.
    Lindblad, Thomas
    Royal Institute of Technology, Stockholm, Sweden.
    Real-Time Signal Processing of Infrasound Data Using 1D Wavelet Transform on FPGA Device2007In: 2007 15TH IEEE-NPSS REAL-TIME CONFERENCE, VOLS 1 AND 2, Piscataway, NJ: IEEE , 2007, p. 170-174Conference paper (Refereed)
    Abstract [en]

    Infrasound is a low frequency acoustic phenomenon typically in the frequency range 0.01 to 20 Hz. Data collected from infrasound microphones are presented online by the infrasound monitoring system operating in Northern Europe, Swedish-Finnish Infrasound Network (SFIN). Processing the continuous flow of data to extract optimal feature information is important. Using wavelet decomposition as a tool for removing noise from the real-time signals is an alternative. The purpose of this paper is to present the design and FPGA implementation of Discrete Wavelet Transform (DWT) for real-time infrasound data processing, in which only two FIR filters, a high-pass and a low-pass filter, are used. With the filter reuse method and techniques such as pipeline, basic operations, by the VHDL on the platform QUARTUS II, FPGA simulation and implementation are fulfilled. This implementation takes advantage from the low sampling rate used by the infrasound monitoring system that is only 18 Hz.

  • 19.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Lindblad, Thomas
    Wireless Data Acquisition System Using Bluetooth Technology for Infrasonic Records2008In: International Scientific Journal of Computing, ISSN 1727-6209, Vol. 7, no 2, p. 18-21Article in journal (Refereed)
  • 20.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Lindblad, Thomas
    Olsson, Roland
    Hansen, Stig-Erland
    Comparison of three feature extraction techniques to distinguish between different infrasound signals2007In: Progress in pattern recognition, London: Springer , 2007, p. 75-82Chapter in book (Other (popular science, discussion, etc.))
  • 21.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Olsson, Roland
    Hansen, Stig-Erland
    Lindblad, Thomas
    Classification of Infrasound Events with Various Machine Learning Techniques2007In: CITSA 2007 / CCCT 2007: The 4th International Conference on Cybernetics and Information Technologies, Systems and Applications jointly with The 5th International Conference on Computing, Communications and Control Technologies, 2007, p. Vol. II, 191-195Conference paper (Refereed)
  • 22.
    Chilo, José
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Pelegri-Sebastia, José
    Universitat Politècnica de València, Valencia, Spain.
    Cupane, Maria
    University of Palermo, Palermo, Italy.
    Sogorb, Tomas
    Universitat Politècnica de València, Valencia, Spain.
    E-nose application to food industry production2016In: IEEE Instrumentation & Measurement Magazine, ISSN 1094-6969, E-ISSN 1941-0123, Vol. 19, no 1, p. 27-33Article in journal (Refereed)
    Abstract [en]

    Food companies worldwide must constantly engage in product development to stay competitive, cover existing markets, explore new markets, and meet key consumer requirements. This ongoing development places high demands on achieving quality at all levels, particularly in terms of food safety, integrity, quality, nutrition, and other health effects. Food product research is required to convert the initial product idea into a formulation for upscaling production with ensured significant results. Sensory evaluation is an effective component of the whole process. It is especially important in the last step in the development of new products to ensure product acceptance. In that stage, measurements of product aroma play an important role in ensuring that consumer expectations are satisfied. To this end, the electronic nose (e-nose) can be a useful tool to achieve this purpose. The e-nose is a combination of various sensors used to detect gases by generating signals for an analysis system. Our research group has investigated the scent factor in some foodstuff and attempted to develop e-noses based on low-cost technology and compact size. In this paper, we present a summary of our research to date on applications of the e-nose in the food industry.

  • 23.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Schluter, Andreas
    KTH.
    Lindblad, Thomas
    KTH.
    Development of a high-resolution wireless sensor network for monitoring volcanic activity2009In: Geoscience and Remote Sensing / [ed] Pei-Gee Peter Ho, InTech , 2009, p. 53-74Chapter in book (Other academic)
  • 24.
    Chilo, José
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Stenumgaard, Peter
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Amplitude Probability Distribution Measurement in Industrial Environments2010In: IEEE International Symposium on Electromagnetic Compatibility: Workshop & Tutorial Notes, 2010, p. 642-645Conference paper (Other academic)
  • 25.
    Chilo, José
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Stenumgaard, Peter
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Vulnerability of Radio Technologies Used in Wireless Industry Automation2010In: Proceedings of Gigahertz 2010, Lund / [ed] Henrik Sjöland, 2010Conference paper (Refereed)
  • 26.
    Chilo, José
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Thomas, Lindblad
    Hardware implementation of 1D wavelet transform on an FPGA for infrasound signal classification2008In: IEEE Transactions on Nuclear Science, ISSN 0018-9499, E-ISSN 1558-1578, Vol. 55, no 1, part 1, p. 9-13Article in journal (Refereed)
  • 27.
    Climent, Enric
    et al.
    Sensors and Magnetism Group, Institut de Recerca per a la Gestió Integrada de Zones Costaneres, Campus de Gandia, Universitat Politècnica de València, Grao de Gandia, Spain.
    Pelegri-Sebastia, Jose
    Sensors and Magnetism Group, Institut de Recerca per a la Gestió Integrada de Zones Costaneres, Campus de Gandia, Universitat Politècnica de València, Grao de Gandia, Spain.
    Sogorb, Tomas
    Sensors and Magnetism Group, Institut de Recerca per a la Gestió Integrada de Zones Costaneres, Campus de Gandia, Universitat Politècnica de València, Grao de Gandia, Spain.
    Talens, J. B.
    Sensors and Magnetism Group, Institut de Recerca per a la Gestió Integrada de Zones Costaneres, Campus de Gandia, Universitat Politècnica de València, Grao de Gandia, Spain.
    Chilo, Jose
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution Detection2017In: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 17, no 8, article id E1917Article in journal (Refereed)
    Abstract [en]

    In this paper, we describe a new low-cost and portable electronic nose instrument, the Multisensory Odor Olfactory System MOOSY4. This prototype is based on only four metal oxide semiconductor (MOS) gas sensors suitable for IoT technology. The system architecture consists of four stages: data acquisition, data storage, data processing, and user interfacing. The designed eNose was tested with experiment for detection of volatile components in water pollution, as a dimethyl disulphide or dimethyl diselenide or sulphur. Therefore, the results provide evidence that odor information can be recognized with around 86% efficiency, detecting smells unwanted in the water and improving the quality control in bottled water factories.

  • 28. Cupane, M.
    et al.
    Pelegrí Sebastiá, J.
    Guarrasi, V.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Sogorb, T.
    Electronic nose to detect off-flavor of drinking water2014In: , 2014, p. 61-61Conference paper (Refereed)
  • 29.
    del Cueto Belchi, Alejandro
    et al.
    UPV.
    Rodriguez, Daniel
    UPV.
    Rothpfeffer, Niklas
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Sebastia, José
    UPV.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Multi-sensor olfactory system: Using temperature modulation2012In: 2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings, IEEE conference proceedings, 2012, p. 1139-1141Conference paper (Refereed)
    Abstract [en]

    In recent years, with the advent of new and cheaper sensors, the use of olfactory systems in home, industry and hospital has get a new start. Multi-sensor systems can improve the ability to distinguish between complex mixtures of volatile substances. In this approach, 32 metal oxide semiconductor (MOS) sensors operating at different temperatures have been used to develop a multi-sensor olfactory system. 

  • 30.
    del Cueto Belchi, Alex
    et al.
    Polytechnic University of Valencia, Spain, Department of Electronic Engineering.
    Rothpfeffer, Niklas
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Pelegrí-Sebastia, José
    Polytechnic University of Valencia, Spain, Department of Electronic Engineering.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Garcia Rodriguez, Daniel
    Polytechnic University of Valencia, Spain, Department of Electronic Engineering.
    Sogorb, T.
    Polytechnic University of Valencia, Spain, Department of Electronic Engineering.
    Sensor characterization for multisensor odor-discrimination system2013In: Sensors and Actuators A-Physical, ISSN 0924-4247, E-ISSN 1873-3069, Vol. 191, p. 68-72Article in journal (Refereed)
    Abstract [en]

    In recent years, with the advent of new and cheaper sensors, the use of olfactory systems in homes, industries, and hospitals has a new start. Multisensor systems can improve the ability to distinguish between complex mixtures of volatile substances. To develop multisensor systems that are accurate and reliable, it is important to take into account the anomalies that may arise because of electronic instabilities, types of sensors, and air flow. In this approach, 32 metal oxide semiconductor sensors of 7 different types and operating at different temperatures have been used to develop a multisensor olfactory system. Each type of sensor has been characterized to select the most suitable temperature combinations. In addition, a prechamber has been designed to ensure a good air flow from the sample to the sensing area. The multisensor system has been tested with good results to perform multidimensional information detection of two fruits, based on obtaining sensor matrix data, extracting three features parameters from each sensor curve and using these parameters as the input to a pattern recognition system.

  • 31.
    Ferrer Coll, Javier
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Slimane, Ben
    KTH.
    Radio-Frequency Electromagnetic Characterization in Factory Infrastructures2012In: IEEE transactions on electromagnetic compatibility (Print), ISSN 0018-9375, E-ISSN 1558-187X, Vol. 54, no 3, p. 708-711Article, review/survey (Refereed)
    Abstract [en]

    In recent years, industrial wireless applications have emerged rapidly. The use of short-range radio communication systems in factories increases the flexibility in industrial processes by reducing the use of cables. However, the technological challenges involved in wireless communication in industrial environments are not trivial; they result in disadvantages with respect to reliability and security because of electromagnetic interference. To gain an understanding of the performance limits of these wireless applications, knowing the characteristics of these environments is essential. In this approach, amplitude probability distribution and rms delay spread measurements have been used to perform electromagnetic site surveys in three factory automation infrastructures.

  • 32.
    Ferrer Coll, Javier
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. School of Information and Communication Technology, KTH Royal Institute of Technology, Kista, Sweden.
    Choquehuanca, Juan José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Stenumgaard, Peter
    Swedish Defence Research Agency, P.O. Box 1165, SE-58111, Sweden.
    Statistical Characterization of the Electromagnetic Environment in a Hospital2010In: 2010 Asia-Pacific Symposium on Electromagnetic Compatibility, APEMC 2010, 2010, p. 293-296, article id 5475847Conference paper (Refereed)
    Abstract [en]

    Thanks to advances in digital technology many hospitals are becoming populated with wireless medical applications to control life critical functions. Electromagnetic interference can cause severe performance degradations on these wireless applications. Several accidents have been reported which calls for a more thorough characterization of these interferences in areas where critical wireless applications are used. In this paper the results of electromagnetic interference measurements performed in a hospital are presented. The amplitude probability distribution (APD) and the inter arrival pulse probability distribution (PSD) are used to characterize these environments. In addition, Middleton parameters can be calculated from the measured data. This study is considered to be a first effort to characterize the 20 MHz -2500 MHz band in hospitals.

  • 33.
    Ferrer Coll, Javier
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. KTH.
    Dolz Martin de Ojeda, Jose
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences.
    Stenumgaard, Peter
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. FOI.
    Marzal Romeu, Silvia
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Industrial Indoor Environment Characterization: Propagation Models2011In: Proceedings of EMC Europe 2011 York - 10th International Symposium on Electromagnetic Compatibility, 2011, p. 245-249Conference paper (Refereed)
    Abstract [en]

    Results of three years' field measurements on radio propagation in industrial environments have been analyzed using four propagation models: the Saleh-Valenzuela model, the twocluster model, the indoor power delay profile model, and our more recent adjusted model. In this study, we used the results of measurements performed at a steel mill, a paper mill, and in a laboratory environment for three frequency bands (183-683 MHz, 1640-2140 MHz, and 2200-2700 MHz) and for line-of-sight and non-line-of-sight cases.

  • 34.
    Ferrer Coll, Javier
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Karlsson, Carl
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Stenumgaard, Peter
    FOI.
    Ängskog, Per
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Ultra-Wideband Propagation Channel-Measurements and Simulations in Industrial Environments2010In: 9th International Symposium on EMC joint with 20th International Wroclaw Symposium on EMC, 2010, p. 615-618Conference paper (Refereed)
  • 35.
    Ferrer Coll, Javier
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. KTH, School of Information and Communication Technology, Kista, Sweden .
    Ängskog, Per
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Stenumgaard, Peter
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. FOI.
    Industrial environment characterization for future M2M applications2011In: Proc. 2011 IEEE International Symposium on Electromagnetic Compatibility, New York: IEEE conference proceedings, 2011, p. 960-963Conference paper (Refereed)
    Abstract [en]

    Combining electronics, telecommunications, and information technology to connect devices and remote systems is perhaps the best feature of the future Machine-to-Machine (M2M) technology. Wireless communication technologies for managing future M2M applications are becoming mature, but electromagnetic interference and time dispersion in industrial environments can limit the successful functioning of these wireless systems, leading to a failure in the control of critical functions. The characterization of these environments is necessary for collecting and specifying M2M requirements. In this paper, we present the conclusions from measurements carried out in four different industrial environments during the past three years.

  • 36.
    Ferrer Coll, Javier
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. School of Information and Communication Technology, KTH Royal Institute of Technology, Sweden.
    Ängskog, Per
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Karlsson, Carl
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Stenumgaard, Peter
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. Swedish Defence Research Agency, Sweden.
    Simulation and Measurement of Electromagnetic Radiation Absorption in a Finished-product Warehouse2010In: IEEE International Symposium on Electromagnetic Compatibility, 2010, p. 881-884, article id 5711396Conference paper (Refereed)
    Abstract [en]

    Several studies have characterized industrial environments as being highly reflective. In this paper, we provide the data obtained from electromagnetic field measurements performed at the warehouse of a paper mill. The data is also compared to simulated data. This data proves the existence of non-reflective and very high absorption industrial environments where wireless communication is impossible at certain frequencies. Furthermore, in such environment, radio performance cannot be improved by multiple antenna solutions such as MIMO (Multiple Input Multiple Output) since multiple reflections are effectively absorbed.

  • 37.
    Ferrer-Coll, Javier
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. School of ICT, KTH Royal Institute of Technology, Stockholm, Sweden .
    Slimane, Ben
    School of ICT, KTH Royal Institute of Technology, Stockholm, Sweden .
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Stenumgaard, Peter
    School of ICT, KTH Royal Institute of Technology, Stockholm, Sweden; Department of Electrical Engineering (ISY), Linköping University, Linköping, Sweden .
    Detection and Suppression of Impulsive Noise in OFDM Receiver2015In: Wireless personal communications, ISSN 0929-6212, E-ISSN 1572-834X, Vol. 85, no 4, p. 2245-2259Article in journal (Refereed)
    Abstract [en]

    In recent years, the use of wireless systems in industrial applications has experienced spectacular growth. Unfortunately, industrial environments often present impulsive noise which degrades the reliability of wireless systems. OFDM is an enhanced technology used in industrial communication to monitor the work and movement of employees using high quality video. However, OFDM is sensitive to high amplitude impulsive noise because the noise energy spreads among all OFDM sub-carriers. This paper proposes a receiver structure consisting of two stages: a detector stage combining Fisher’s Quadratic discriminant and Gaussian Hypothesis techniques, and a suppression stage optimized by setting well defined thresholds. The receiver structure has been tested by simulations and measurements providing an increment in the probability of detection and improving the system performance.

  • 38.
    Ferrer-Coll, Javier
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. KTH.
    Slimane, Ben
    KTH.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Stenumgaard, Peter
    FOI.
    Impulsive noise detection in OFDM systems with PAPR reduction2014In: 2014 International symposium on electromagnetic compatibility (EMC Europe), IEEE conference proceedings, 2014, p. 523-527Conference paper (Refereed)
    Abstract [en]

    Impulsive noise is a major source of degradation in industrial communications. Orthogonal frequency-division multiplexing (OFDM) is an extended technique used in many industrial communications, however the performance of OFDM systems is reduced under an impulsive noise source. To increase the system performance, impulsive noise detection and suppression techniques can be designed in the communication system. OFDM has high levels of peak-to-average power ratio (PAPR), thus PAPR reduction techniques, such as selected mapping (SLM), are implemented in OFDM systems. This paper proposes an impulsive noise detection exploiting the statistical properties of the OFDM envelope when applying SLM. The proposed detection technique increases the probability of detection and improves the BER of the communication system compared to other impulsive detection techniques.

  • 39.
    Ferrer-Coll, Javier
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Ängskog, Per
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Stenumgaard, Peter
    FOI.
    Characterisation of electromagnetic properties in iron-mine production tunnels2012In: Electronics Letters, ISSN 0013-5194, E-ISSN 1350-911X, Vol. 48, no 2, p. 62-63Article in journal (Refereed)
    Abstract [en]

    Modern underground mines require reliable wireless communication for transmitting voice data, operating surveillance cameras, and monitoring mining equipment such as heavy vehicles. The electromagnetic characteristics of mines therefore have to be considered when determining the type of wireless technology for such critical applications. In this reported work, measurements of radio interference levels, path loss, and multipath propagation are performed in the world's now largest iron ore mine, situated in Sweden, to determine a suitable wireless technology for this mine.

  • 40.
    Ferrer-Coll, Javier
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Ängskog, Per
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Stenumgaard, Peter
    FOI, Totalförsvarets forskningsinstitut.
    Characterisation of highly absorbent and highly reflective radio wave propagation environments in industrial applications2012In: IET Communications, ISSN 1751-8628, E-ISSN 1751-8636, Vol. 6, no 15, p. 2404-2412Article in journal (Refereed)
    Abstract [en]

    Experience has shown that Bluetooth, Wireless LAN (WLAN), Digital Enhanced Cordless Telecommunications (DECT) and other Industrial, Scientific and Medical (ISM) frequency band wireless technologies developed for office use, have encountered problems when used in critical industrial applications. The development of more reliable wireless solutions requires extensive knowledge of industrial environments with regards to both electromagnetic interference and wave propagation. This study presents the results of the analysis of two important classes of industrial environments having opposite characteristics, one being highly absorbent and the other being highly reflective, with respect to radio wave propagation. The analysis comprises both multipath and path loss characterisation. The results show that wireless solutions with different fundamental properties must be chosen for each of these environments to ensure high reliability. The conclusions of this work can be used as an important reference for further research in this area, as well as the design of new standards and guidelines for selecting wireless solutions in similar industrial environment classes.

  • 41.
    Ferrer-Coll, Javier
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Ängskog, Per
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Elofsson, Carl
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Stenumgaard, Peter
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. FOI.
    Antenna Cross Correlation and Ricean K-Factor Measurements in Indoor Industrial Environments at 433 and 868 MHz2013In: Wireless personal communications, ISSN 0929-6212, E-ISSN 1572-834X, Vol. 73, no 3, p. 587-593Article in journal (Refereed)
    Abstract [en]

    The Ricean K-factor and antenna diversity properties for indoor industrial environments have been characterized for 433 and 868 MHz. The high amount of metallic structures gives a multipath environment that heavily differs from other environments e.g. indoor office environments. The results show that low correlation between receiving antennas can be achieved for shorter antenna distances than in other environments.

  • 42.
    Ferrer-Coll, Javier
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Ängskog, Per
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Shabai, He
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Stenumgaard, Peter
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. FOI, Totalförsvarets forskningsinstitut and Linköping University.
    Analysis of wireless communications in underground tunnels for industrial use2012In: 38TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2012), New York: IEEE conference proceedings, 2012, p. 3216-3220Conference paper (Refereed)
    Abstract [en]

    Wireless communication is expected to improve the safety and the productivity in underground tunnels for industrial use. However the multiple shapes and structures of tunnels affect wireless communication characteristics in terms of signal propagation which is significantly different from terrestrial environments. This paper presents comprehensive broadband measurements and simulations of multipath propagation and path loss in two underground environments. The results can be used in the development of new communication systems in tunnels that provide industrial services.

  • 43.
    Hamid, Mohamed
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. KTH.
    Ferrer Coll, Javier
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. KTH.
    Björsell, Niclas
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Van Moer, Wendy
    Vrije Universiteit Brussel, Brussels, Belgium .
    Multi-Interference Detection Algorithm using Discriminant Analysis in Industrial Environments2013In: 39th Annual Conference of the IEEE Industrial Electronics Society (IECON 2013), New York: IEEE conference proceedings, 2013, p. 5600-5604Conference paper (Refereed)
    Abstract [en]

    In this paper a technique to detect multiple impulsive interference in an industrial environment is proposed and evaluated. The technique is based on discriminant analysis which iteratively peels-off the impulsive interferences. The probability of detection of the technique is tested with and without the iterative peeling-off part. The simulations show that the SIR can be improved by applying the detection technique and then blank or clip the impulsive interference components. The improvement in the SIR depends on the impulsive interference parameters and it can reach up to 17 dB.

  • 44.
    Horvath, György
    et al.
    Institutionen för kliniska vetenskaper, sektionen för onkologi, radiofysik, radiologi och urologi, Avdelningen för onkologi.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Lindblad, Thomas
    Royal Institute of Technology, Stockholm, Sweden.
    Different volatile signals emitted by human ovarian carcinoma and healthy tissue2010In: Future Oncology, ISSN 1479-6694, E-ISSN 1744-8301, Vol. 6, no 6, p. 1043-1049Article, review/survey (Refereed)
  • 45.
    Horvath, György
    et al.
    Sahlgrenska Universitetssjukhuset i Göteborg.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Lindblad, Thomas
    KTH.
    Elektronisk näsa hittar cancer i äggstockarna2010In: Dagens medicin, ISSN 1104-7488, p. 13-13Article in journal (Other academic)
  • 46.
    Karlsson, Carl
    et al.
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Ängskog, Per
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Ferrer Coll, Javier
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Chilo, José
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Stenumgaard, Peter
    FOI.
    Outdoor electromagnetic interference measurements in industrial environments2009Conference paper (Refereed)
  • 47.
    Olarte, Oscar
    et al.
    Vrije Univ. Brussel.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Pelegri-Sebastia, José
    Univ. Pol. de Valencia.
    Barbé, Kurt
    Vrije Univ. Brussel.
    Van Moer, Wendy
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. Vrije Univ. Brussel.
    Glucose detection in human sweat using an electronic nose2013In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, New York: IEEE conference proceedings, 2013, p. 1462-1465Conference paper (Refereed)
    Abstract [en]

    In the last years attempts to develop a non-invasive glucose system based on the glucose levels in sweat have been studied. In this paper, 32 metal oxide semiconductor (MOS) sensors operating at different temperatures have been used to develop a multisensor olfactory system that allows to study the glucose levels in sweat. In order to develop repeatable experiments, artificial sweat at different glucose concentrations were developed in the laboratory. The obtained results suggest high viability of the approach. Although, the sensitivity of the sensors system needs to be improved.

  • 48. Puscov, J.
    et al.
    Chilo, José
    University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
    Experience of a small UAV with a commercial flight computer2006In: NATO/FOI Workshop on Autonomy in UAV-systems, 2006Conference paper (Other (popular science, discussion, etc.))
  • 49.
    Savic, Vladimir
    et al.
    Linköping University, Linköping, Sweden.
    Ferrer-Coll, Javier
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Ängskog, Per
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Stenumgaard, Peter
    Linköping University, Linköping, Sweden.
    Larsson, Erik G.
    Linköping University, Linköping, Sweden.
    An experimental study of ranging techniques in a tunnel environment2013Conference paper (Refereed)
    Abstract [en]

    This paper presents a preliminary experimental analysis of the ranging techniques using UWB measurements obtained in a tunnel at Linköping university. According to our results, range estimates based on time-of-arrival are very accurate in LOS and all NLOS scenarios with thin obstacles. However, there is a relatively large bias when a NLOS is caused by a tunnel wall.

  • 50.
    Savic, Vladimir
    et al.
    Department of Electrical Engineering (ISY), Linköping University, Linköping, Sweden.
    Ferrer-Coll, Javier
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Ängskog, Per
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Chilo, José
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Stenumgaard, Peter
    Department of Electrical Engineering (ISY), Linköping University, Linköping, Sweden; Swedish Defense Research Agency (FOI), Linköping, Sweden .
    Larsson, Erik G.
    Department of Electrical Engineering (ISY), Linköping University, Linköping, Sweden .
    Measurement analysis and channel modeling for TOA-based ranging in tunnels2015In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 14, no 1, p. 456-467Article in journal (Refereed)
    Abstract [en]

    A robust and accurate positioning solution is required to increase the safety in GPS-denied environments. Although there is a lot of available research in this area, little has been done for confined environments such as tunnels. Therefore, we organized a measurement campaign in a basement tunnel of Linköping university, in which we obtained ultra-wideband (UWB) complex impulse responses for line-of-sight (LOS), and three non-LOS (NLOS) scenarios. This paper is focused on time-of-arrival (TOA) ranging since this technique can provide the most accurate range estimates, which are required for range-based positioning. We describe the measurement setup and procedure, select the threshold for TOA estimation, analyze the channel propagation parameters obtained from the power delay profile (PDP), and provide statistical model for ranging. According to our results, the rise-time should be used for NLOS identification, and the maximum excess delay should be used for NLOS error mitigation. However, the NLOS condition cannot be perfectly determined, so the distance likelihood has to be represented in a Gaussian mixture form. We also compared these results with measurements from a mine tunnel, and found a similar behavior.

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