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

IF 3.2 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Signal Processing Letters Pub Date : 2024-12-25 DOI:10.1109/LSP.2024.3522858
Qiyan Song
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Abstract

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.
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基于矢量加速交替方向乘子法的快速波束方向图合成
采用交替方向乘子法(ADMM)迭代求解变形场景下的多约束凸优化问题。在声场重建和语音增强等场景中,更快的波束形成可以帮助提高声学设备的响应速度。在本研究中,提出了一种加速ADMM,用于更快的光束方向图合成,并与传统ADMM进行了比较。基于矢量加速原理,加快了对偶变量和辅助变量的计算速度,提高了ADMM波束形成算法的计算速度。仿真结果表明,与传统的ADMM波束形成算法相比,该算法的总计算时间减少了约30%,在更短的时间内获得了更精确的结果。
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来源期刊
IEEE Signal Processing Letters
IEEE Signal Processing Letters 工程技术-工程:电子与电气
CiteScore
7.40
自引率
12.80%
发文量
339
审稿时长
2.8 months
期刊介绍: The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.
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