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Closed-Loop DPD for Digital MIMO Transmitters under Antenna Crosstalk

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationConference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1682-1689
Number of pages8
ISBN (Electronic)9781728143002
DOIs
Publication statusPublished - Nov 2019
Publication typeA4 Article in a conference publication
EventAsilomar Conference on Circuits, Systems and Computers -
Duration: 3 Nov 20196 Nov 2019

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2019-November
ISSN (Print)1058-6393

Conference

ConferenceAsilomar Conference on Circuits, Systems and Computers
Period3/11/196/11/19

Abstract

Due to the closely-spaced antenna elements in largearray or massive MIMO transmitters, antenna crosstalk is inevitable. This imposes additional challenges when seeking to linearize the power amplifiers at the transmitter through digital predistortion (DPD). In the commonly applied indirect learning architecture (ILA), the antenna crosstalk is known to result in a large amount of additional basis functions (BFs) in order to account for all the coupling signal terms and achieve good linearization. In this article, we propose a novel closed-loop DPD architecture and associated parameter learning algorithms that can provide efficient linearization of digital MIMO transmitters under antenna crosstalk. The proposed solution does not need extra basis functions, and is thus shown to provide large benefits in terms of computational complexity compared to existing state-of-the-art. Comprehensive numerical results are also provided, showing excellent linearization performance outperforming the existing reference methods.

Keywords

  • Antenna arrays, antenna crosstalk, closed-loop systems, digital predistortion, nonlinear distortion, power amplifier

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