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Measurement and analysis of frequency-domainVolterra kernels of nonlinear dynamic 3x3 MIMO systems
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0003-1602-4771
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0003-1183-6666
ATM, University of Gävle.
2016 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662Article in journal (Refereed) Accepted
Abstract [en]

Multiple-input multiple-output (MIMO) frequency-domain Volterra kernels of nonlinear order 3 are experimentally determined in bandwidth-limited frequency regions. How the effect of higher nonlinear orders can be reduced and how this affects the estimated errors are discussed. The magnitude and phase of the kernels areKramers-Kronig consistent. The self- and cross-kernels have different symmetries and the kernels are therefore determined and analyzed in different regions in the 3D frequency space. By analyzing the properties along certain paths in the 3D frequency space, the block structures for the respective kernels are determined. These block structures contain the significant blocks of the general block structures for third-order kernels. The device under test is a MIMO transmitter for radio frequency signals.

Place, publisher, year, edition, pages
IEEE Press, 2016.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-197371OAI: oai:DiVA.org:kth-197371DiVA: diva2:1052045
Note

QC 20161205

Available from: 2016-12-05 Created: 2016-12-05 Last updated: 2016-12-05Bibliographically approved
In thesis
1. Characterization and Linearization of Multi-band Multi-channel RF Power Amplifiers
Open this publication in new window or tab >>Characterization and Linearization of Multi-band Multi-channel RF Power Amplifiers
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The World today is deeply transformed by the advancement in wireless technology. The envision of a smart society where interactions between physical and virtual dimensions of life are intertwined and where human interaction is mediated by machines, e.g., smart phones, demands increasingly more data traffic. This continual increase in data traffic requires re-designing of the wireless technologies for increased system capacity and flexibility. In this thesis, aspects related to behavioral modeling, characterization, and linearization of multi-channel/band power amplifiers (PAs) are discussed.

When building a model of any system, it is advantageous to take into account the knowledge of the physics of the system and include into the model. This approach could help to improve the model performance. In this context, three novel behavioral models and DPD schemes for nonlinear MIMO transmitters are proposed.

To model and compensate distortions in GaN based RF PAs in presence of long-term memory effects, novel models for SISO and concurrent dual-band PAs are proposed. These models are based on a fixed pole expansion technique and have infinite impulse response. They show substantial performance improvement. A behavioral model based on the physical knowledge of the concurrent dual-band PA is derived, and its performance is investigated both for behavioral modeling and compensation of nonlinear distortions.

Two-tone characterization is a fingerprint method for the characterization of memory effects in dynamic nonlinear systems. In this context, two novel techniques are proposed. The first technique is a dual two-tone characterization technique to characterize the memory effects of self- and cross-modulation products in concurrent dual-band transmitter. The second technique is for the characterization and analysis of self- and cross-Volterra kernels of nonlinear 3x3 MIMO systems using three-tone signals.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2017. 59 p.
Series
TRITA-EE, ISSN 1653-5146 ; 2016:185
National Category
Signal Processing
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-197266 (URN)978-91-7729-198-5 (ISBN)
Public defence
2017-02-24, 99133, Kungsbäcksvägen 47, Gävle, 10:15 (English)
Opponent
Supervisors
Note

QC 20161205

Available from: 2016-12-05 Created: 2016-11-30 Last updated: 2016-12-05Bibliographically approved

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