Sparse Array Beamformer Design via ADMM

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 a...

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Bibliographic Details
Published inProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop pp. 336 - 340
Main Authors Huang, Huiping, So, Hing Cheung, Zoubir, Abdelhak M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 20.06.2022
Subjects
Adaptive arrays
Adaptive beamforming
ADMM
Array signal processing
Closed-form solutions
Conferences
Design methodology
Interference
output SINR
Signal processing algorithms
sparse array design
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ISSN2151-870X
DOI10.1109/SAM53842.2022.9827781

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Summary: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.
ISSN:2151-870X
DOI:10.1109/SAM53842.2022.9827781