hig.sePublications
Change search
Link to record
Permanent link

Direct link
BETA
Publications (7 of 7) Show all publications
Alizadeh, M., Händel, P. & Rönnow, D. (2019). Behavioral modeling and digital pre-distortion techniques for RF PAs in a 3 × 3 MIMO system. International journal of microwave and wireless technologies
Open this publication in new window or tab >>Behavioral modeling and digital pre-distortion techniques for RF PAs in a 3 × 3 MIMO system
2019 (English)In: International journal of microwave and wireless technologies, ISSN 1759-0795, E-ISSN 1759-0787Article in journal (Refereed) Epub ahead of print
Abstract [en]

Modern telecommunications are moving towards (massive) multi-input multi-output systems in 5th generation (5G) technology, increasing the dimensionality of the system dramatically. In this paper, the impairments of radio frequency (RF)power amplifiers (PAs) in a 3x3 MIMO system are compensated in both time and frequency domains. A three-dimensional(3D) time-domain memory polynomial-type model is proposed as an extension of conventional 2D models. Furthermore, a 3D frequency-domain technique is formulated based on the proposed time-domain model to reduce the dimensionality of the model, while preserving the performance in terms of model errors. In the 3D frequency-domain technique, the bandwidth of a system is split into several narrow sub-bands, and the parameters of the system are estimated for each subband. This approach requires less computational complexity, and also the procedure of the parameters estimation for each sub-band can be implemented independently. The device-under-test (DUT) consists of three RF PAs including input and output cross-talk channels. The proposed techniques are evaluated in both behavioural modelling and digital pre-distortion(DPD) perspectives. The results show that the proposed DPD technique can compensate the errors of non-linearity and memory effects by about 23.5 dB and 7 dB in terms of the normalized mean square error and adjacent channel leakage ratio, respectively.

Place, publisher, year, edition, pages
Cambridge University Press, 2019
Keywords
Radio frequency power amplifier, non-linearity, memory effects, multiple-input multiple-output (MIMO), digital pre-distortion.
National Category
Signal Processing
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:hig:diva-29304 (URN)10.1017/S1759078719000862 (DOI)2-s2.0-85067662944 (Scopus ID)
Available from: 2019-01-11 Created: 2019-02-18 Last updated: 2019-11-27Bibliographically approved
Alizadeh, M. (2019). Characterisation, Modelling and Digital Pre-Distortion Techniques for RF Transmitters in Wireless Systems. (Doctoral dissertation). Stockholm: KTH Royal Institute of Technology
Open this publication in new window or tab >>Characterisation, Modelling and Digital Pre-Distortion Techniques for RF Transmitters in Wireless Systems
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Wireless systems have become an inevitable part of modern technologies serving humankind. The rapid growth towards large dimensional systems, e.g. 5th generation (5G) technologies, incurs needs for improving the performance of the systems and considering aspects to make them as far as possible environmentally friendly in terms of power efficiency, cost, and so on. One of the key parts of every wireless communication system is the radio frequency (RF) power amplifier (PA), which consumes the largest percentage of the total energy. Hence, accurate models of RF PAs can be used to optimize their design and to compensate for signal distortions. This thesis starts with two methods for frequency-domain characterisation to analyse the dynamic behaviour of PAs in 3rd-order non-linear systems. Firstly, two-tone signals superimposed on large-signals are used to analyse the frequency-domain symmetry properties of inter-modulation (IM) distortions and Volterra kernels in different dynamic regions of RF PAs in a single-input single-output (SISO) system. Secondly, three-tone signals are used to characterise the 3rd-order self- and cross-Volterra kernels of RF PAs in a 3 × 3 multiple-input multiple-output (MIMO) system. The main block structures of the models are determined by analysing the frequency-domain symmetry properties of the Volterra kernels in different three-dimensional (3D) frequency spaces. This approach significantly simplifies the structure of the 3rd-order non-linear MIMO model.

The following parts of the thesis investigate techniques for behavioural modelling and linearising RF PAs. A piece-wise modelling technique is proposed to characterise the dynamic behaviour and to mitigate the impairments of non-linear RF PAs at different operating points (regions). A set of thresholds decompose the input signal into several sub-signals that drive the RF PAs at different operating points. At each operating point, the PAs are modelled by one sub-model, and hence, the complete model consists of several sub-models. The proposed technique reduces the model errors compared to conventional piece-wise modelling techniques.

A block structure modelling technique is proposed for RF PAs in a MIMO system based on the results of the three-tone characterisation technique. The main structures of the 3rd- and higher-order systems are formulated based on the frequency dependence of each block. Hence, the model can describe more relevant interconnections between the inputs and outputs than conventional polynomial-type models.

This thesis studies the behavioural modelling and compensation techniques in both the time and the frequency domains for RF PAs in a 3 × 3MIMO system. The 3D time-domain technique is an extension of conventional 2D generalised memory polynomial (GMP) techniques. To reduce the computational complexity, a frequency-domain technique is proposed that is efficient and feasible for systems with long memory effects. In this technique, the parameters of the model are estimated within narrow sub-bands. Each sub-band requires only a few parameters, and hence the size of the model for each sub-band is reduced.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2019. p. xiv, 73
Series
TRITA-EECS-AVL ; ; 2019:9
Keywords
RF power amplifiers, non-linearity, memory effects, Behavioral modelling, MIMO, Digital pre-distortion
National Category
Signal Processing Telecommunications
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:hig:diva-29302 (URN)978-91-7873-076-6 (ISBN)
Public defence
2019-02-18, Hörsal 99131, Kungsbäcksvägen 47, Gävle, 13:00 (English)
Opponent
Supervisors
Available from: 2019-02-18 Created: 2019-02-18 Last updated: 2019-11-29Bibliographically approved
Alizadeh, M., Händel, P. & Rönnow, D. (2018). Basis Function Decomposition Approach in Piece-Wise Modeling for RF Power Amplifiers. In: 6th Telecommunications forum TELFOR 2018: . Paper presented at 26th Telecommunications Forum TELFOR 2018, 20-21 November 2018, Belgrade, Serbia. Belgrade: Telecommunications society
Open this publication in new window or tab >>Basis Function Decomposition Approach in Piece-Wise Modeling for RF Power Amplifiers
2018 (English)In: 6th Telecommunications forum TELFOR 2018, Belgrade: Telecommunications society , 2018Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, a new approach is proposed to decompose the basis functions in a piece-wise modeling technique for nonlinear radio frequency (RF) power amplifiers. The proposed technique treats the discontinuity problem of the model output at the joint points between different operating points, whereas preserves the linear and nonlinear properties of the original model within each region. Experimental results show that the proposed technique outperforms the conventional piece-wise model in terms of model errors.

Place, publisher, year, edition, pages
Belgrade: Telecommunications society, 2018
Keywords
Nonlinear dynamic RF power amplifier, behavioral modeling, piece-wise models, digital predistortion.
National Category
Signal Processing
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:hig:diva-29303 (URN)10.1109/TELFOR.2018.8611865 (DOI)000459714200035 ()2-s2.0-85062060510 (Scopus ID)978-1-5386-7171-9 (ISBN)978-1-5386-7172-6 (ISBN)978-1-5386-7170-2 (ISBN)
Conference
26th Telecommunications Forum TELFOR 2018, 20-21 November 2018, Belgrade, Serbia
Note

Proceedings distributed on CD.

Available from: 2019-01-11 Created: 2019-02-18 Last updated: 2019-08-12Bibliographically approved
Alizadeh, M., Rönnow, D. & Händel, P. (2018). Characterization of Volterra Kernels for RF Power Amplifiers Using a Two-Tone Signal and a Large-Signal. In: 2018 International Conference on Communications, COMM 2018 - Proceedings: . Paper presented at 2018 International Conference on Communications (COMM), 14-16 June 2018, Bucharest, Romania (pp. 351-356). Institute of Electrical and Electronics Engineers (IEEE), 1
Open this publication in new window or tab >>Characterization of Volterra Kernels for RF Power Amplifiers Using a Two-Tone Signal and a Large-Signal
2018 (English)In: 2018 International Conference on Communications, COMM 2018 - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2018, Vol. 1, p. 351-356Conference paper, Published paper (Refereed)
Abstract [en]

The 3rd-order Volterra kernels of a radio frequency (RF) power amplifier (PA) are characterized using a large-signal and a two-tone probing-signal. In this technique, the magnitude and phase asymmetries of the kernels of the PA excited by the probing-signal are analyzed in different amplitude regions of the large-signal. The device under test is a class-AB PA operating at 2.14 GHz. The maximum sweeping frequency space of the probing-signal is 20 MHz. The results indicate that the Volterra kernels of the PA show different behaviors (frequency dependency and asymmetry) in different regions.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Keywords
Kernel, Radio frequency, Baseband, Nonlinear systems, Frequency dependence, Frequency-domain analysis, Discrete Fourier transforms, nonlinear dynamic RF power amplifier, volterra kernels, asymmetry, two-tone test
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hig:diva-27867 (URN)10.1109/ICComm.2018.8430119 (DOI)000449526000066 ()2-s2.0-85052507435 (Scopus ID)978-1-5386-2351-0 (ISBN)978-1-5386-2350-3 (ISBN)978-1-5386-2349-7 (ISBN)
Conference
2018 International Conference on Communications (COMM), 14-16 June 2018, Bucharest, Romania
Available from: 2018-09-06 Created: 2018-09-06 Last updated: 2019-02-18Bibliographically approved
Alizadeh, M., Rönnow, D., Händel, P. & Isaksson, M. (2017). A new Block-Structure Modeling Technique for RF Power Amplifiers in a 2x2 MIMO System. In: Milovanovic, B. D.; Doncov, N. S.; Stankovic, Z. Z.; Dimitrijevic, T. Z. (Ed.), 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS): . Paper presented at 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS), Nis, Serbia, 18-20 October 2017 (pp. 224-227). IEEE
Open this publication in new window or tab >>A new Block-Structure Modeling Technique for RF Power Amplifiers in a 2x2 MIMO System
2017 (English)In: 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) / [ed] Milovanovic, B. D.; Doncov, N. S.; Stankovic, Z. Z.; Dimitrijevic, T. Z., IEEE , 2017, p. 224-227Conference paper, Published paper (Refereed)
Abstract [en]

A new block-structure behavioral model is proposed for radio frequency power amplifiers in a 2x2 multiple-input multiple-output system including input cross-talk. The proposed model forms kernels of blocks of different nonlinear order that correspond to the significant frequency response of measured frequency domain Volterra kernels. The model can therefore well describe the input-output relationships of the nonlinear dynamic behavior of PAs. The proposed model outperforms conventional models in terms of model errors.

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
Nonlinear dynamic RF power amplifier, Volterra kernels, MIMO system, block-structural model
National Category
Signal Processing
Identifiers
urn:nbn:se:hig:diva-26235 (URN)10.1109/TELSKS.2017.8246268 (DOI)000425463200046 ()2-s2.0-85045971319 (Scopus ID)978-1-5386-1800-4 (ISBN)
Conference
13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS), Nis, Serbia, 18-20 October 2017
Available from: 2018-03-15 Created: 2018-03-15 Last updated: 2019-09-17Bibliographically approved
Rönnow, D., Amin, S., Alizadeh, M. & Zenteno, E. (2017). Phase noise coherence of two continuous wave radio frequency signals of different frequency. IET Science, Measurement & Technology, 11(1), 77-85
Open this publication in new window or tab >>Phase noise coherence of two continuous wave radio frequency signals of different frequency
2017 (English)In: IET Science, Measurement & Technology, ISSN 1751-8822, E-ISSN 1751-8830, Vol. 11, no 1, p. 77-85Article in journal (Refereed) Published
Abstract [en]

A method is proposed for determining the correlated and uncorrelated parts of phase noise spectra (PNS) of two continuous wave radio signals of different frequencies, ω1 and ω2. The PNS of the two signals and of mixed signals are measured. The PNS are modelled as having a correlated part that is the same for both signals, except for a multiplicative factor, and uncorrelated parts, that are different for the two signals. A property of the model that the PNS of some mixing products are linear combinations of the PNS of the signals at ω1, ω2, and ω1 − ω2 is experimentally verified. The difference of the PNS at ω1 + ω2 and ω1 − ω2 is proportional to the correlated part of the PNS and is a part of auxiliary functions that are used for finding the multiplicative factor and the correlated, partly correlated, and uncorrelated phase noise at different offset frequencies. A conventional spectrum analyser was used to characterise two signal generators, a phase-coherent and a non-phase-coherent one. For the phase-coherent generator the phase noise of two signals was found to be correlated for offset frequencies below 10 Hz, partly correlated for 10 Hz–1 kHz and uncorrelated above 1 kHz.

National Category
Signal Processing
Identifiers
urn:nbn:se:hig:diva-23281 (URN)10.1049/iet-smt.2016.0203 (DOI)000396470900012 ()2-s2.0-85008869311 (Scopus ID)
Available from: 2017-01-11 Created: 2017-01-11 Last updated: 2018-03-13Bibliographically approved
Alizadeh, M. & Rönnow, D. (2016). A two-tone test for characterizing nonlinear dynamic effects of radio frequency amplifiers in different amplitude regions. Measurement, 89, 273-279
Open this publication in new window or tab >>A two-tone test for characterizing nonlinear dynamic effects of radio frequency amplifiers in different amplitude regions
2016 (English)In: Measurement, ISSN 0263-2241, E-ISSN 1873-412X, Vol. 89, p. 273-279Article in journal (Refereed) Published
Abstract [en]

A new two-tone test method for radio frequency power amplifiers is presented. The test signal is a two-tone probing-signal superimposed on large-signals of different amplitude. The amplifier is, thus, excited in different amplitude regions. The amplitude and phase of the 3rd order intermodulation (IM) products are measured vs. frequency spacing and probing-signal amplitude in each region. The IM magnitude is a measure of the nonlinearity, while the frequency dependence and asymmetry are measures of the memory effects in the different regions. A Doherty and a class-AB amplifier were tested. For both amplifiers the IM magnitude increased by ∼15 dB from the lowest to the highest amplitude region. For the Doherty amplifier the behavior of the IM products vs. frequency spacing was similar in all regions, indicating similar memory effects. For the class-AB amplifier the IM vs. frequency spacing was significantly different in the different regions, which indicates different memory effects.

Keywords
Two-tone test, Intermodulation, Nonlinear, Radio frequency amplifier, Volterra series
National Category
Signal Processing
Identifiers
urn:nbn:se:hig:diva-21566 (URN)10.1016/j.measurement.2016.04.027 (DOI)000376463700032 ()2-s2.0-84982297904 (Scopus ID)
External cooperation:
Available from: 2016-06-10 Created: 2016-06-10 Last updated: 2019-02-18Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-2061-6366

Search in DiVA

Show all publications