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Händel, Peter
Publications (10 of 50) Show all publications
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
Händel, P. & Rönnow, D. (2018). Dirty MIMO Transmitters: Does It Matter?. IEEE Transactions on Wireless Communications, 17(8), 5425-5436
Open this publication in new window or tab >>Dirty MIMO Transmitters: Does It Matter?
2018 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 17, no 8, p. 5425-5436Article in journal (Refereed) Published
Abstract [en]

The radio frequency transmitter is a key component in contemporary MIMO OFDM systems. A detailed study of a 2×2 MIMO transmitter subjected to correlated input data streams, nonlinear distortion, thermal noise, and crosstalk is provided by stochastic modeling. The effects of correlated input streams, crosstalk and nonlinearities are studied in detail, and exemplified both by approximate expressions and numerical simulations. Key results include exact and approximate expressions for the normalized mean-squared error (NMSE) for systems with or without digital predistortion, the relationship between NMSE and the signal-to-noise-and-distortion ratio, the properties of the distortion noise, and a novel design for power amplifier back-off for MIMO-transmitters subject to crosstalk. The theoretical derivations are illustrated by numerical examples and simulation results, and their relationship to state-of-the-art research are discussed. OAPA

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Bussgang theory, Crosstalk, input back-off, MIMO communication, Nonlinear distortion, OFDM, optimization, Orthogonal frequency division multiplexing (OFDM), power amplifier, Radio transmitters, Mean square error, Nonlinear optics, Orthogonal frequency division multiplexing, Power amplifiers, Radio frequency amplifiers, Radio transmission, Signal to noise ratio, Stochastic systems, Thermal noise, Transmitters, Approximate expressions, Input-back offs, Normalized mean squared errors, Radio frequency transmitters, Signal to noise and distortion ratio, Theoretical derivations, MIMO systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hig:diva-27518 (URN)10.1109/TWC.2018.2843764 (DOI)000441933900034 ()2-s2.0-85048562714 (Scopus ID)
Available from: 2018-07-04 Created: 2018-07-04 Last updated: 2018-11-26Bibliographically approved
Khan, Z. A., Zenteno, E., Händel, P. & Isaksson, M. (2018). Extraction of the Third-Order 3x3 MIMO Volterra Kernel Outputs Using Multitone Signals. IEEE transactions on microwave theory and techniques, 66(11), 4985-4999
Open this publication in new window or tab >>Extraction of the Third-Order 3x3 MIMO Volterra Kernel Outputs Using Multitone Signals
2018 (English)In: IEEE transactions on microwave theory and techniques, ISSN 0018-9480, E-ISSN 1557-9670, Vol. 66, no 11, p. 4985-4999Article in journal (Refereed) Published
Abstract [en]

This paper uses multitone signals to simplify the analysis of 3×3 multiple-input multiple-output (MIMO) Volterra systems by isolating the third-order kernel outputs from each other. Multitone signals fed to an MIMO Volterra system yield a spectrum that is a permutation of the sums of the input signal tones. This a priori knowledge is used to design multitone signals such that the third-order kernel outputs are isolated in the frequency domain. The signals are designed by deriving the conditions for the offset and spacing of the input frequency grids. The proposed technique is then validated for the six possible configurations of a 3x3 RF MIMO transmitter impaired by crosstalk effects. The proposed multitone signal design is used to extract the third-order kernel outputs, and their relative contributions are analyzed to determine the dominant crosstalk effects for each configuration.

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Crosstalk; hardware impairments; multiple-input multiple-output (MIMO); multitone signals; Volterra kernels
National Category
Signal Processing
Identifiers
urn:nbn:se:hig:diva-27812 (URN)10.1109/TMTT.2018.2854186 (DOI)000449354500028 ()2-s2.0-85052719621 (Scopus ID)
Available from: 2018-09-01 Created: 2018-09-01 Last updated: 2018-11-28Bibliographically 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: 2019-02-18Bibliographically approved
Khan, Z. A., Zenteno, E., Händel, P. & Isaksson, M. (2017). Multitone design for third order MIMO volterra kernels. In: 2017 IEEE MTT-S International Microwave Symposium (IMS): . Paper presented at 2017 IEEE MTT-S International Microwave Symposium (IMS), 4-9 June 2017, Honolulu, USA (pp. 1553-1556). IEEE conference proceedings
Open this publication in new window or tab >>Multitone design for third order MIMO volterra kernels
2017 (English)In: 2017 IEEE MTT-S International Microwave Symposium (IMS), IEEE conference proceedings, 2017, p. 1553-1556Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a technique for designing multitone signals that can separate the third order multiple input multiple output (MIMO) Volterra kernels. Multitone signals fed to a MIMO Volterra system yield a spectrum that is a permutation of the sums of the input signal tones. This a priori knowledge is used to design multitone signals such that the output from the MIMO Volterra kernels does not overlap in the frequency domain, hence making it possible to separate these kernels from the output of the MIMO Volterra system. The proposed technique is applied to a 2×2 RF MIMO transmitter to determine its dominant hardware impairments. For input crosstalk, the proposed method reveals the dominant self and cross kernels whereas for output crosstalk, the proposed method reveals that only the self kernels are dominant.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2017
Keywords
Complexity theory, Crosstalk, Kernel, MIMO, Peak to average power ratio, Radio frequency, Transmitters
National Category
Signal Processing
Identifiers
urn:nbn:se:hig:diva-25431 (URN)10.1109/MWSYM.2017.8058925 (DOI)000425241500419 ()2-s2.0-85032467119 (Scopus ID)978-1-5090-6360-4 (ISBN)
Conference
2017 IEEE MTT-S International Microwave Symposium (IMS), 4-9 June 2017, Honolulu, USA
Available from: 2017-10-19 Created: 2017-10-19 Last updated: 2018-11-26Bibliographically approved
Amin, S., Khan, Z. A., Isaksson, M., Händel, P. & Rönnow, D. (2016). Concurrent dual-band power amplifier model modification using dual two-tone test. In: 46th Europena Microwave Conference (EUMC) 2016: . Paper presented at 46th European Microwave Conference (EuMC), 4-6 October 2016, London, UK (pp. 186-189).
Open this publication in new window or tab >>Concurrent dual-band power amplifier model modification using dual two-tone test
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2016 (English)In: 46th Europena Microwave Conference (EUMC) 2016, 2016, p. 186-189Conference paper, Published paper (Refereed)
Abstract [en]

A dual two-tone technique for the characterization of memory effects in concurrent dual-band transmitters is revisited to modify a 2D-DPD model for the linearization of concurrent dual-band transmitters. By taking into account the individual nonlinear memory effects of the self- and cross-kernels, a new2D modified digital pre-distortion (2D-MDPD) model is proposed,which not only supersedes the linearization performance but also reduces the computational complexity compared to the 2DDPDmodel in terms of a number of floating point operations(FLOPs). Experimental results show an improvement of 1.7 dBin normalized mean square error (NMSE) and a 58% reduction in the number of FLOPs.

Series
European Microwave Conference, ISSN 2325-0305
Keywords
IEEE Keywords Computational modeling, Numerical models, Dual band, Two dimensional displays, Radio frequency, Computational complexity
National Category
Signal Processing
Identifiers
urn:nbn:se:hig:diva-22558 (URN)10.1109/EuMC.2016.7824309 (DOI)000393581100048 ()2-s2.0-85015185570 (Scopus ID)978-2-87487-043-9 (ISBN)978-1-5090-1514-6 (ISBN)
Conference
46th European Microwave Conference (EuMC), 4-6 October 2016, London, UK
Available from: 2016-10-06 Created: 2016-10-06 Last updated: 2018-12-03Bibliographically approved
Zenteno, E., Khan, Z. A., Isaksson, M. & Händel, P. (2016). Using Intrinsic Integer Periodicity to Decompose the Volterra Structure in Multi-Channel RF Transmitters. IEEE Microwave and Wireless Components Letters, 26(4), 297-299
Open this publication in new window or tab >>Using Intrinsic Integer Periodicity to Decompose the Volterra Structure in Multi-Channel RF Transmitters
2016 (English)In: IEEE Microwave and Wireless Components Letters, ISSN 1531-1309, E-ISSN 1558-1764, Vol. 26, no 4, p. 297-299Article in journal (Refereed) Published
Abstract [en]

An instrumentation, measurement and post-processing technique is presented to characterize transmitters by multiple input multiple output (MIMO) Volterra series. The MIMO Volterra series is decomposed as the sum of nonlinear single-variable self-kernels and a multi-variable cross-kernel. These kernels are identified by sample averages of the outputs using inputs of different sample periodicity. This technique is used to study the HW effects in a RF MIMO transmitter composed by input and output coupling filters (cross-talk) sandwiching a non-linear amplification stage. The proposed technique has shown to be useful in identifying the dominant effects in the transmitter structure and it can be used to design behavioral models and compensation techniques.

Keywords
Amplifiers, behavioral modeling, concurrent, digital predistortion, linearization, MIMO, MIMO Volterra series
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hig:diva-21555 (URN)10.1109/LMWC.2016.2525019 (DOI)000374561900025 ()2-s2.0-84979470032 (Scopus ID)
Available from: 2016-06-10 Created: 2016-06-09 Last updated: 2018-11-26Bibliographically approved
Landin, P. N., Barbé, K., Van Moer, W., Isaksson, M. & Händel, P. (2015). Two novel memory polynomial models for modeling of RF power amplifiers. International journal of microwave and wireless technologies, 7(1), 19-29
Open this publication in new window or tab >>Two novel memory polynomial models for modeling of RF power amplifiers
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2015 (English)In: International journal of microwave and wireless technologies, ISSN 1759-0795, E-ISSN 1759-0787, Vol. 7, no 1, p. 19-29Article in journal (Refereed) Published
Abstract [en]

Two novel memory polynomial models are derived based on physical knowledge of a general power amplifier (PA). The derivations are given in detail to facilitate derivations of other model structures. The model error in terms of normalized mean square error (NMSE) and adjacent channel error power ratio (ACEPR) of the novel model structures are compared to that of established models based on the number of parameters using data measured on two different amplifiers, one high-power base-station PA and one low-power general purpose amplifier. The novel models show both lower NMSE and ACEPR for any chosen number of parameters compared to the established models. The low model errors make the novel models suitable candidates for both modeling and digital predistortion.

Keywords
Power amplifiers and linearizers; Wireless systems and signal processing (SDR, MIMO, UWB, etc.)
National Category
Signal Processing
Identifiers
urn:nbn:se:hig:diva-16481 (URN)10.1017/S1759078714000397 (DOI)000348647500003 ()2-s2.0-84921539094 (Scopus ID)
Available from: 2014-04-03 Created: 2014-04-03 Last updated: 2018-11-26Bibliographically approved
Amin, S., Landin, P., Händel, P. & Rönnow, D. (2014). Behavioral Modeling and Linearization of Crosstalk and Memory Effects in RF MIMO Transmitters. IEEE transactions on microwave theory and techniques, 62(4), 810-823
Open this publication in new window or tab >>Behavioral Modeling and Linearization of Crosstalk and Memory Effects in RF MIMO Transmitters
2014 (English)In: IEEE transactions on microwave theory and techniques, ISSN 0018-9480, E-ISSN 1557-9670, Vol. 62, no 4, p. 810-823Article in journal (Refereed) Published
Abstract [en]

This paper proposes three novel models for behavioral modeling and digital pre-distortion (DPD) of nonlinear 2$,times,$ 2 multiple-input multiple-output (MIMO) transmitters in the presence of crosstalk. The proposed models are extensions of the single-input single-output generalized memory polynomial model. Three types of crosstalk effects were studied and characterized as linear, nonlinear, and nonlinear & linear crosstalk. A comparative study was performed with previously published models for the linearization of crosstalk in a nonlinear 2 $,times,$2 MIMO transmitter. The experiments indicate that, depending on the type of crosstalk, the selection of the correct model in the transmitter is necessary for behavioral modeling and sufficient DPD performance. The effects of coherent and partially noncoherent signal generation on the performance of DPD were also studied. For crosstalk levels of ${-}{hbox{30}}$ dB, the difference in the normalized mean square error and adjacent channel power ratio was found to be 3–4 dB between coherent and partially noncoherent signal generation.

Keywords
Behavioral modeling; digital pre-distortion (DPD); multiple-input multiple-output (MIMO); nonlinear and linear crosstalk; power amplifiers (PAs); RF
National Category
Signal Processing
Identifiers
urn:nbn:se:hig:diva-16413 (URN)10.1109/TMTT.2014.2309932 (DOI)000334525600010 ()2-s2.0-84898403156 (Scopus ID)
Available from: 2014-03-13 Created: 2014-03-13 Last updated: 2018-11-26Bibliographically approved
Khan, Z. A., Zenteno, E., Isaksson, M. & Händel, P. (2014). Density estimation models for strong nonlinearities in RF power amplifiers. In: Proceedings of the Asia-Pacific Microwave Conference 2014: . Paper presented at Asia Pacific Microwave Conference (APMC) 2014, 4-7 November 2014, Sendai, Japan (pp. 116-118).
Open this publication in new window or tab >>Density estimation models for strong nonlinearities in RF power amplifiers
2014 (English)In: Proceedings of the Asia-Pacific Microwave Conference 2014, 2014, p. 116-118Conference paper, Published paper (Refereed)
Abstract [en]

The paper presents a method for modeling strongnonlinear effects in power amplifiers based on the principlesof density estimation. The static nonlinear transfer function isobtained by averaging measured data. The performance obtainedwith density estimation is similar to the one using high ordernonlinear static polynomial models. The benefit of consideredmethod over the ones using polynomial models is that the formerestimates blindly the structure of the transfer function and doesnot suffer from numerical instabilities.

Series
Asia Pacific Microwave Conference-Proceedings
Keywords
power amplifier, density estimation, power amplifier modeling, nonlinearities, memory polynomials
National Category
Communication Systems
Identifiers
urn:nbn:se:hig:diva-17718 (URN)000380417700393 ()2-s2.0-84988258886 (Scopus ID)978-490233931-4 (ISBN)
Conference
Asia Pacific Microwave Conference (APMC) 2014, 4-7 November 2014, Sendai, Japan
Available from: 2014-10-23 Created: 2014-10-23 Last updated: 2018-11-26Bibliographically approved

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