Low Complexity Stochastic Optimization-Based Model Extraction for Digital Predistortion of RF Power Amplifiers

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dc.contributor.author Kelly, Noel
dc.contributor.author Zhu, Anding
dc.date.accessioned 2017-03-10T15:42:03Z
dc.date.available 2017-03-10T15:42:03Z
dc.date.copyright 2016 IEEE en
dc.date.issued 2016-05
dc.identifier.citation IEEE Transactions on Microwave Theory and Techniques en
dc.identifier.uri http://hdl.handle.net/10197/8389
dc.description.abstract This paper introduces a low-complexity stochastic optimization-based model coefficients extraction solution for digital predistortion of RF power amplifiers (PAs). The proposed approach uses a closed-loop extraction architecture and replaces conventional least squares (LS) training with a modified version of the simultaneous perturbation stochastic approximation (SPSA) algorithm that requires a very low number of numerical operations per iteration, leading to considerable reduction in hardware implementation complexity. Experimental results show that the complete closed-loop stochastic optimization-based coefficient extraction solution achieves excellent linearization accuracy while avoiding the complex matrix operations associated with conventional LS techniques. en
dc.description.sponsorship European Commission - European Regional Development Fund en
dc.description.sponsorship Science Foundation Ireland en
dc.language.iso en en
dc.publisher IEEE en
dc.rights © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en
dc.subject Digital predistortion en
dc.subject Linearization en
dc.subject Model extraction en
dc.subject Stochastic optimization en
dc.subject Simultaneous perturbation stochastic approximation en
dc.subject Power amplifier en
dc.title Low Complexity Stochastic Optimization-Based Model Extraction for Digital Predistortion of RF Power Amplifiers en
dc.type Journal Article en
dc.internal.authorcontactother anding.zhu@ucd.ie
dc.status Peer reviewed en
dc.identifier.volume 64 en
dc.identifier.issue 5 en
dc.identifier.startpage 1373 en
dc.identifier.endpage 1382 en
dc.identifier.doi 10.1109/TMTT.2016.2547383
dc.neeo.contributor Kelly|Noel|aut|
dc.neeo.contributor Zhu|Anding|aut|
dc.internal.rmsid 586611783
dc.date.updated 2017-01-26T13:08:18Z


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