Robust Superdirective Beamforming Based on ADPM

Pengcheng Gong, Junjia Zhang, Yuntao Wu, Liang Yu, Lirong Li

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

Abstract

Some characteristics of array in superdirective beamformers contradict each other such as spatially white noise and position errors. The white noise amplification of the array itself is the main problem to be solved in superdirective beamforming, which can be evaluated by a robustness measure, the White Noise Gain (WNG). In this paper, we present an optimization problem for beamformer design with an efficient method which incorporates constraints for the WNG and least-squares for constant beamwidth into beamformer design, and then solve it based on alternating direction penalty method (ADPM) Algorithm. The effectiveness of the proposed method is demonstrated by numerical results.

Original languageEnglish
Title of host publication2022 5th International Conference on Information Communication and Signal Processing, ICICSP 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages723-727
Number of pages5
ISBN (Electronic)9781665485890
DOIs
StatePublished - 2022
Externally publishedYes
Event5th International Conference on Information Communication and Signal Processing, ICICSP 2022 - Shenzhen, China
Duration: 26 Nov 202228 Nov 2022

Publication series

Name2022 5th International Conference on Information Communication and Signal Processing, ICICSP 2022

Conference

Conference5th International Conference on Information Communication and Signal Processing, ICICSP 2022
Country/TerritoryChina
CityShenzhen
Period26/11/2228/11/22

Keywords

  • alternating direction method of multipliers (ADMM)
  • alternating direction penalty method (ADPM)
  • Superdirective Beamformer
  • white noise gain

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