hig.sePublications
Change search
Link to record
Permanent link

Direct link
BETA
Händel, Peter
Publications (10 of 52) Show all publications
Händel, P. & Rönnow, D. (2019). Modeling Mixer and Power Amplifier Impairments. IEEE Microwave and Wireless Components Letters, 29(7), 441-443, Article ID 8733818.
Open this publication in new window or tab >>Modeling Mixer and Power Amplifier Impairments
2019 (English)In: IEEE Microwave and Wireless Components Letters, ISSN 1531-1309, E-ISSN 1558-1764, Vol. 29, no 7, p. 441-443, article id 8733818Article in journal (Refereed) Published
Abstract [en]

Combating the effects of mixer and power amplifier (PA) imperfections on transmitter performance is crucial for the design of wireless systems. PA compression and in-phase/quadrature imbalance are analyzed for a single-input-single-output transmitter model. The influence of the imperfection on the normalized mean squared error (NMSE) of the transmitter is studied using an analytical framework that relies on the classic Bussgang theory. The study concludes with a closed-form expression for the NMSE that provides insights into the behavior of the transmitter. © 2019 IEEE.

Place, publisher, year, edition, pages
IEEE, 2019
Keywords
Dirty radio, input backoff, orthogonal frequency division multiplexing (OFDM), power amplifier (PA), Mean square error, Mixers (machinery), Orthogonal frequency division multiplexing, Radio frequency amplifiers, Transmitters, Closed-form expression, In-phase/quadrature, Normalized mean squared errors, Single input single output, Transmitter model, Wireless systems, Power amplifiers
National Category
Signal Processing
Identifiers
urn:nbn:se:hig:diva-30545 (URN)10.1109/LMWC.2019.2915647 (DOI)000474589400001 ()2-s2.0-85068688857 (Scopus ID)
Funder
Swedish Agency for Economic and Regional Growth
Note

Funding: The work of D. Ronnow was supported in part by the European Commission within the European Regional Development Fund through the Swedish Agency for Economic and Regional Growth and in part by Region Gavleborg.

Available from: 2019-08-22 Created: 2019-08-22 Last updated: 2019-08-26Bibliographically approved
Rönnow, D. & Händel, P. (2019). Nonlinear distortion noise and linear attenuation in MIMO systems - theory and application to multiband transmitters. IEEE Transactions on Signal Processing, 67(20), 5203-5212
Open this publication in new window or tab >>Nonlinear distortion noise and linear attenuation in MIMO systems - theory and application to multiband transmitters
2019 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 67, no 20, p. 5203-5212Article in journal (Refereed) Published
Abstract [en]

Nonlinear static multiple-input multiple-output (MIMO) systems are analyzed. The matrix formulation of Bussgang's theorem for complex Gaussian signals is rederived and put in the context of the multivariate cumulant series expansion. The attenuation matrix is a function of the input signals' covariance and the covariance of the input and output signals. The covariance of the distortion noise is in addition a function of the output signal's covariance. The effect of the observation bandwidth is discussed. Models of concurrent multiband transmitters are analyzed. For a transmitter with dual non-contiguous bands expressions for the normalized mean square error (NMSE) vs input signal power are derived for uncorrelated, partially correlated, and correlated input signals. A transmitter with arbitrary number of non-contiguous bands is analysed for correlated and uncorrelated signals. In an example, the NMSE is higher when the input signals are correlated than when they are uncorrelated for the same input signal power and it increases with the number of frequency bands. A concurrent dual band amplifier with contiguous bands is analyzed; in this case the NMSE depends on the bandwidth of the aggregated signal.

Place, publisher, year, edition, pages
IEEE, 2019
Keywords
Bussgang theory, carrier aggregation, concurrent dual band, MIMO, multiband transmitter, nonlinear distortion
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:hig:diva-30580 (URN)10.1109/TSP.2019.2935896 (DOI)000485741500001 ()
Note

Funding: European Commission within the European Regional Development Fund;   Swedish Agency for Economic and Regional Growth; Region Gavleborg

Available from: 2019-08-26 Created: 2019-08-26 Last updated: 2019-11-06Bibliographically 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
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: 2019-11-29Bibliographically 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
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: 2019-11-29Bibliographically 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
Show others...
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
Show others...
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

Search in DiVA

Show all publications