Sparse Array Beamformer Design via ADMM

Huiping Huang, Hing Cheung So, Abdelhak M. Zoubir

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

8 Citations (Scopus)

Abstract

In this paper, we devise a sparse array design algorithm for adaptive beamforming. Our strategy is based on finding a sparse beamformer weight to maximize the output signal-to-interference-plus-noise ratio (SINR). The proposed method uses the alternating direction method of multipliers (ADMM), and admits closed-form solutions at each ADMM iteration. Numerical results exhibit excellent performance of the proposed method, which is comparable to that of the exhaustive search approach.
Original languageEnglish
Title of host publication2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM)
PublisherIEEE
Pages336-340
ISBN (Electronic)978-1-6654-0633-8
DOIs
Publication statusPublished - 2022
Event12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 - Trondheim, Norway
Duration: 20 Jun 202223 Jun 2022

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume2022-June
ISSN (Electronic)2151-870X

Conference

Conference12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022
PlaceNorway
CityTrondheim
Period20/06/2223/06/22

Research Keywords

  • Adaptive beamforming
  • ADMM
  • output SINR
  • sparse array design

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