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Please use this identifier to cite or link to this item: http://hdl.handle.net/UCSP/15832
Title: Using Intrinsic Integer Periodicity to Decompose the Volterra Structure in Multi-Channel RF Transmitter
Authors: Zenteno Bolaños, Efrain
Zain Ahmed, Khan
Isaksson, Magnus
Händel, Peter
Keywords: Crosstalk;Transmitters;Behavioral model;Compensation techniques;Input and outputs;Multi variables;Post-processing techniques;Sample average;Single variable;Volterra Series;MIMO systems
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
metadata.dc.relation.uri: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979470032&doi=10.1109%2fLMWC.2016.2525019&partnerID=40&md5=17fc3669e706f27cecd5a038e3bfc0c5
Abstract: 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. © 2015 IEEE.
URI: http://repositorio.ucsp.edu.pe/handle/UCSP/15832
ISSN: 15311309
Appears in Collections:Artículos de investigación

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