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Using Intrinsic Integer Periodicity to Decompose the Volterra Structure in Multi-Channel RF Transmitters
KTH, School of Electrical Engineering (EES), Signal Processing. University of Gävle, Sweden; Universidad Catolica San Pablo, Peru.ORCID iD: 0000-0001-8460-6509
KTH, School of Electrical Engineering (EES), Signal Processing. University of Gävle, Sweden.
University of Gävle, Sweden.ORCID iD: 0000-0002-2718-0262
2016 (English)In: IEEE Microwave and Wireless Components Letters, ISSN 1531-1309, E-ISSN 1558-1764, Vol. 26, no 4, 297-299 p., 7440846Article in journal (Refereed) Published
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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.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. Vol. 26, no 4, 297-299 p., 7440846
Keyword [en]
Amplifiers, behavioral modeling, concurrent, digital predistortion, linearization, MIMO, MIMO Volterra series
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-187181DOI: 10.1109/LMWC.2016.2525019ISI: 000374561900025Scopus ID: 2-s2.0-84962542443OAI: oai:DiVA.org:kth-187181DiVA: diva2:929344
Note

QC 20160518

Available from: 2016-05-18 Created: 2016-05-18 Last updated: 2017-01-31Bibliographically approved

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CiteExportLink to record
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