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Ferrer-Coll, Javier
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Publications (10 of 24) Show all publications
Savic, V., Larsson, E. G., Ferrer-Coll, J. & Stenumgaard, P. (2016). Kernel Methods for Accurate UWB-Based Ranging with Reduced Complexity. IEEE Transactions on Wireless Communications, 15(3), 1783-1793
Open this publication in new window or tab >>Kernel Methods for Accurate UWB-Based Ranging with Reduced Complexity
2016 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 15, no 3, p. 1783-1793Article in journal (Refereed) Published
Abstract [en]

Accurate and robust positioning in multipath environments can enable many applications, such as search-and-rescue and asset tracking. For this problem, ultra-wideband (UWB) technology can provide the most accurate range estimates, which are required for range-based positioning. However, UWB still faces a problem with non-line-of-sight (NLOS) measurements, in which the range estimates based on time-of-arrival (TOA) will typically be positively biased. There are many techniques that address this problem, mainly based on NLOS identification and NLOS error mitigation algorithms. However, these techniques do not exploit all available information in the UWB channel impulse response. Kernel-based machine learning methods, such as Gaussian process regression (GPR), are able to make use of all information, but they may be too complex in their original form. In this paper, we propose novel ranging methods based on kernel principal component analysis (kPCA), in which the selected channel parameters are projected onto a nonlinear orthogonal high-dimensional space, and a subset of these projections is then used as an input for ranging. We evaluate the proposed methods using real UWB measurements obtained in a basement tunnel, and found that one of the proposed methods is able to outperform state-of-the-art, even if little training samples are available.

Keywords
Artificial intelligence, Broadband networks, Gaussian distribution, Gaussian noise (electronic), Impulse response, Learning systems, Mobile telecommunication systems, Principal component analysis, Range finding, Time of arrival, Gaussian process regression, High dimensional spaces, Kernel principal component analyses (KPCA), Machine learning methods, Multi-path environments, NLOS error mitigations, positioning, Ultra-wideband technology, Ultra-wideband (UWB)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hig:diva-21491 (URN)10.1109/TWC.2015.2496584 (DOI)000372627500013 ()2-s2.0-84963553390 (Scopus ID)
Available from: 2016-05-13 Created: 2016-05-13 Last updated: 2018-03-13Bibliographically approved
Ferrer-Coll, J., Slimane, B., Chilo, J. & Stenumgaard, P. (2015). Detection and Suppression of Impulsive Noise in OFDM Receiver. Wireless personal communications, 85(4), 2245-2259
Open this publication in new window or tab >>Detection and Suppression of Impulsive Noise in OFDM Receiver
2015 (English)In: Wireless personal communications, ISSN 0929-6212, E-ISSN 1572-834X, Vol. 85, no 4, p. 2245-2259Article in journal (Refereed) Published
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.

Keywords
Bit error rate (BER), Detection technique, Impulsive noise, Impulsive noise suppression, Industrial environments, OFDM
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Telecommunications
Identifiers
urn:nbn:se:hig:diva-20350 (URN)10.1007/s11277-015-2902-4 (DOI)000365730000033 ()2-s2.0-84948710556 (Scopus ID)
Available from: 2015-09-29 Created: 2015-09-29 Last updated: 2018-03-13Bibliographically approved
Savic, V., Ferrer-Coll, J., Ängskog, P., Chilo, J., Stenumgaard, P. & Larsson, E. G. (2015). Measurement analysis and channel modeling for TOA-based ranging in tunnels. IEEE Transactions on Wireless Communications, 14(1), 456-467
Open this publication in new window or tab >>Measurement analysis and channel modeling for TOA-based ranging in tunnels
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2015 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 14, no 1, p. 456-467Article in journal (Refereed) Published
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.

Keywords
channel modeling, impulse response, positioning, ranging, time of arrival, Tunnels, ultrawideband, Channel capacity, Maximum likelihood estimation, Range finding, Ultra-wideband (UWB), Channel model, Measurement campaign, NLOS error mitigations, Nlos identifications, Power delay profiles, Statistical modeling, Time of arrival (TOA)
National Category
Communication Systems
Identifiers
urn:nbn:se:hig:diva-18917 (URN)10.1109/TWC.2014.2350493 (DOI)000349675400037 ()2-s2.0-84921333804 (Scopus ID)
Funder
Swedish Foundation for Strategic Research
Available from: 2015-02-04 Created: 2015-02-04 Last updated: 2018-03-13Bibliographically approved
Ferrer Coll, J. (2014). Channel Characterization and Wireless Communication Performance in Industrial Environments. (Doctoral dissertation). Stockholm: KTH Royal Institute of Technology
Open this publication in new window or tab >>Channel Characterization and Wireless Communication Performance in Industrial Environments
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The demand for wireless communication systems in industry has grown in recent years. Industrial wireless communications open up a number of new possibilities for highly flexible and efficient automation solutions. However, a good part of the industry refuses to deploy wireless solutions products due to the high reliability requirements in industrial communications that are not achieved by actual wireless systems. Industrial environments have particular characteristics that differ from typical indoor environments such as office or residential environments. The metallic structure and building dimensions result in time dispersion in the received signal. Moreover, electrical motors, vehicles and repair work are sources of electromagnetic interference (EMI) that have direct implications on the performance of wireless communication links. These degradations can reduce the reliability of communications, increasingthe risk of material and personal incidents. Characterizing the sources of degradations in different industrial environments and improving the performance of wireless communication systems by implementing spatial diversity and EMI mitigation techniques are the main goals of this thesis work.

Industrial environments are generally considered to be environments with a significant number of metallic elements and EMI sources. However, with the penetration of wireless communication in industrial environments, we realize that not all industrial environments follow this rule of thumb. In fact, we find a wide range of industrial environments with diverse propagation characteristics and degradation sources. To improve the reliability of wireless communication systems in industrial environments, proper radio channel characterization is needed for each environment. This thesis explores a variety of industrial environments and attempts to characterize the sources of degradation by extracting representative channel parameters such as time dispersion, path loss and electromagnetic interference. The result of this characterization provides an industrial environment classification with respect to time dispersion and EMI levels, showing the diverse behavior of propagation channels in industry.

The performance of wireless systems in industrial environments can be improved by introducing diversity in the received signal. This can be accomplished by exploiting the spatial diversity offered when multiple antennas are employed at the transmitter with the possibility of using one or more antennas at the receiver. For maximum diversity gain, a proper separation between the different antennas is needed. However, this separation could be a limiting factor in industrial environments with confined spaces. This thesis investigates the implication of antenna separation on system performance and discusses the benefits of spatial diversity in industrial environments with high time dispersion conditions where multiple antennas with short antenna separations can be employed.

To ensure reliable wireless communication in industrial environments, all types of electromagnetic interference should be mitigated. The mitigation of EMI requires interference detection and subsequent interference suppression.This thesis looks at impulsive noise detection and suppression techniques for orthogonal frequency division multiplexing (OFDM) based on wide-band communication systems in AWGN and multi-path fading channels. For this,a receiver structure with cooperative detection and suppression blocks is proposed.This thesis also investigates the performance of the proposed receiver structure for diverse statistical properties of the transmitted signal and electromagnetic interference.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2014. p. xiii, 81
Series
TRITA-ICT-COS, ISSN 1653-6347 ; 14:02
National Category
Telecommunications
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:hig:diva-18506 (URN)
Public defence
2014-06-04, Sal D, KTH - ICT, Isafjordsgatan 39, 13:00 (English)
Opponent
Supervisors
Available from: 2014-12-10 Created: 2014-12-10 Last updated: 2018-03-13Bibliographically approved
Ferrer-Coll, J., Slimane, B., Chilo, J. & Stenumgaard, P. (2014). Impulsive noise detection in OFDM systems with PAPR reduction. In: 2014 International symposium on electromagnetic compatibility (EMC Europe): . Paper presented at 2014 International Symposium on Electromagnetic Compatibility, EMC Europe 2014; Gothenburg, Sweden; 1-4 September 2014 (pp. 523-527). IEEE conference proceedings
Open this publication in new window or tab >>Impulsive noise detection in OFDM systems with PAPR reduction
2014 (English)In: 2014 International symposium on electromagnetic compatibility (EMC Europe), IEEE conference proceedings, 2014, p. 523-527Conference paper, Published 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.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014
Series
IEEE International Symposium on Electromagnetic Compatibility, ISSN 2158-110X
Keywords
Impulsive noise; impulsive noise detection; OFDM; PAPR; selected mapping(SLM); wireless communications
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hig:diva-17471 (URN)10.1109/EMCEurope.2014.6930962 (DOI)000364988600097 ()2-s2.0-84908673096 (Scopus ID)978-1-4799-3226-9 (ISBN)
Conference
2014 International Symposium on Electromagnetic Compatibility, EMC Europe 2014; Gothenburg, Sweden; 1-4 September 2014
Projects
EMI
Available from: 2014-09-08 Created: 2014-09-08 Last updated: 2018-03-13Bibliographically approved
Savic, V., Larsson, E. G., Ferrer-Coll, J. & Stenumgaard, P. (2014). Kernel principal component analysis for UWB-based ranging. In: 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC): . Paper presented at 15th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2014, 22-25 June 2014, Toronto (pp. 145-149). (October)
Open this publication in new window or tab >>Kernel principal component analysis for UWB-based ranging
2014 (English)In: 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014, no October, p. 145-149Conference paper, Published paper (Refereed)
Abstract [en]

Accurate positioning in harsh environments can enable many application, such as search-and-rescue in emergency situations. For this problem, ultra-wideband (UWB) technology can provide the most accurate range estimates, which are required for range-based positioning. However, it still faces a problem in non-line-of-sight (NLOS) environments, in which range estimates based on time-of-arrival (TOA) are positively biased. There are many techniques that try to address this problem, mainly based on NLOS identification and NLOS error mitigation. However, these techniques do not exploit all available information from the UWB channel impulse response. In this paper, we propose a novel ranging technique based on kernel principal component analysis (kPCA), in which the selected channel parameters are projected onto nonlinear orthogonal high-dimensional space, and a subset of these projections is then used for ranging. We tested this technique using UWB measurements obtained in a basement tunnel of Linköping university, and found that it provides much better ranging performance comparing with standard techniques based on PCA and TOA. 

Keywords
kernel principal component analysis, machine learning, ranging, time-of-arrival, ultra-wideband, Artificial intelligence, Broadband networks, Impulse response, Learning systems, Mobile telecommunication systems, Range finding, Signal processing, Time of arrival, Ultra-wideband (UWB), Wireless telecommunication systems, Emergency situation, High dimensional spaces, Kernel principal component analyses (KPCA), NLOS error mitigations, Nlos identifications, Non-line-of-sight environments, Time of arrival (TOA), Ultra-wideband technology, Principal component analysis
National Category
Signal Processing
Identifiers
urn:nbn:se:hig:diva-20074 (URN)10.1109/SPAWC.2014.6941337 (DOI)000348859000030 ()2-s2.0-84932613736 (Scopus ID)
Conference
15th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2014, 22-25 June 2014, Toronto
Available from: 2015-08-10 Created: 2015-08-10 Last updated: 2018-03-13Bibliographically approved
Ferrer-Coll, J., Ängskog, P., Elofsson, C., Chilo, J. & Stenumgaard, P. (2013). Antenna Cross Correlation and Ricean K-Factor Measurements in Indoor Industrial Environments at 433 and 868 MHz. Wireless personal communications, 73(3), 587-593
Open this publication in new window or tab >>Antenna Cross Correlation and Ricean K-Factor Measurements in Indoor Industrial Environments at 433 and 868 MHz
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2013 (English)In: Wireless personal communications, ISSN 0929-6212, E-ISSN 1572-834X, Vol. 73, no 3, p. 587-593Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Springer, 2013
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Telecommunications
Identifiers
urn:nbn:se:hig:diva-14396 (URN)10.1007/s11277-013-1204-y (DOI)000327861700013 ()2-s2.0-84890552792 (Scopus ID)
Projects
EMI
Available from: 2013-06-10 Created: 2013-06-10 Last updated: 2018-03-13Bibliographically approved
Stenumgaard, P., Chilo, J., Ferrer-Coll, J. & Ängskog, P. (2013). Challenges and conditions for wireless machine-to-machine communications in industrial environments. IEEE Communications Magazine, 51(6), 187-192
Open this publication in new window or tab >>Challenges and conditions for wireless machine-to-machine communications in industrial environments
2013 (English)In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 51, no 6, p. 187-192Article in journal (Refereed) Published
Abstract [en]

Wireless solutions are rapidly growing in machine-to-machine communications in industrial environments. These environments provide challenging conditions in terms of radio wave propagation as well as electromagnetic interference. In this article, results from the characterization of radio channel properties are summarized in order to provide some guidelines for the choice of wireless solutions in industrial environments. In conclusion, it is essential to know the sensitivity of industrial processes to time delay in data transfer. Furthermore, it is important to be aware of the radio interference environment and the manner in which different wireless technologies react upon interference. These steps will minimize the risk of unforeseen expensive disturbances in industrial processes.

National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Telecommunications
Identifiers
urn:nbn:se:hig:diva-14393 (URN)10.1109/MCOM.2013.6525614 (DOI)000320193000025 ()2-s2.0-84879103439 (Scopus ID)
Projects
EMI
Available from: 2013-06-10 Created: 2013-06-10 Last updated: 2018-03-13Bibliographically approved
Stenumgaard, P., Chilo, J., Ferrer-Coll, J. & Ängskog, P. (2013). Challenges and Conditions for Wireless Machine-to-Machine (M2M) Communications. In: : . Paper presented at Electronic Environment 2013, Älvsjö, March 19-20, 2013 (pp. 72-74).
Open this publication in new window or tab >>Challenges and Conditions for Wireless Machine-to-Machine (M2M) Communications
2013 (English)Conference paper, Published paper (Refereed)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hig:diva-13992 (URN)
Conference
Electronic Environment 2013, Älvsjö, March 19-20, 2013
Projects
EMI
Available from: 2013-03-24 Created: 2013-03-24 Last updated: 2018-03-13Bibliographically approved
Hamid, M., Ferrer Coll, J., Björsell, N., Chilo, J. & Van Moer, W. (2013). Multi-Interference Detection Algorithm using Discriminant Analysis in Industrial Environments. In: 39th Annual Conference of the IEEE Industrial Electronics Society (IECON 2013): . Paper presented at 39th Annual Conference of the IEEE Industrial Electronics Society (IECON 2013), November 10-13 2013, Vienna, Austria (pp. 5600-5604). New York: IEEE conference proceedings
Open this publication in new window or tab >>Multi-Interference Detection Algorithm using Discriminant Analysis in Industrial Environments
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2013 (English)In: 39th Annual Conference of the IEEE Industrial Electronics Society (IECON 2013), New York: IEEE conference proceedings, 2013, p. 5600-5604Conference paper, Published 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.

Place, publisher, year, edition, pages
New York: IEEE conference proceedings, 2013
Series
IEEE Industrial Electronics Society, ISSN 1553-572X
Keywords
Wireless communications, impulsive interference, detection techniques
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hig:diva-14516 (URN)10.1109/IECON.2013.6700051 (DOI)000331149505075 ()2-s2.0-84893531226 (Scopus ID)978-1-4799-0224-8 (ISBN)
Conference
39th Annual Conference of the IEEE Industrial Electronics Society (IECON 2013), November 10-13 2013, Vienna, Austria
Available from: 2013-06-15 Created: 2013-06-15 Last updated: 2019-12-11Bibliographically approved
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