Joint transmit and receive beampattern optimization and adaptive implementation

Zhu Chen, Khaled Amleh, Hongbin Li, Guolong Cui

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

Abstract

We consider joint adaptive transmit(TX) and receive (RX) beamforming for interference mitigation in array sensing systems. Unlike conventional designs, which only employ adaptive processing for the RX beamforming, we propose a fully adaptive approach that jointly selects the transmit correlation matrix and RX beamformer by maximizing the signal-To-interference-plus-noise ratio (SINR). Due to imprecise knowledge of the interference (e.g., because of limited training data), employing only adaptive RX beamforming may be inadequate for effective interference cancellation, whereas joint adaptive transmit and RX beamforming can afford a stronger ability to handle the interference. Numerical examples are presented to evaluate the performance of the proposed joint beamforming approach.

Original languageEnglish
Title of host publication2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings
Pages319-323
Number of pages5
ISBN (Electronic)9781479919482
DOIs
StatePublished - 31 Aug 2015
EventIEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Chengdu, China
Duration: 12 Jul 201515 Jul 2015

Publication series

Name2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings

Conference

ConferenceIEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015
Country/TerritoryChina
CityChengdu
Period12/07/1515/07/15

Keywords

  • Adaptive processing
  • interference cancellation
  • receive beamforming
  • transmit beamforming

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