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Fast Beam Pattern Synthesis Based on Vector Accelerated Alternating Direction Multiplier Method

delete2025-01-01
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Qiyan Song *
DOI:10.1109/LSP.2024.3522858delete
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摘要

摘要

En 中文
The alternating direction multiplier method (ADMM) has been employed to iteratively solve convex optimization problems with multiple constraints in be amforming scenarios. Faster beamforming can help improve the response speed of acoustic devices in scenarios such as sound field reconstruction and speech enhancement. In this study, an accelerated ADMM for faster beam pattern synthesis is proposed and compared to traditional ADMMs. Based on the principle of vector acceleration, the computation of dual and auxiliary variables is expedited to improve the computational speed of ADMM beamforming algorithm. Simulation results show that the proposed algorithm reduces the overall computational time by approximately 30$\%$ and achieves more accurate results in less time compared to traditional ADMM beamforming algorithms.
Keyword:
Beampattern
alternating direction multiplier method
dual variables
auxiliary variables
vector acceleration
Beampattern
alternating direction multiplier method
dual variables
auxiliary variables
vector acceleration

期刊

IEEE Signal Processing Magazine 封面图
IEEE Signal Processing Magazine
IF:
9.6
论文数:
1.1W
被引数:
1.7W

机构

T
tsinghua university
学者数:
11.9W
论文数: 10.0W
被引数: 137
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