{"title":"Fast Beam Pattern Synthesis Based on Vector Accelerated Alternating Direction Multiplier Method","authors":"Qiyan Song","doi":"10.1109/LSP.2024.3522858","DOIUrl":null,"url":null,"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<inline-formula><tex-math>$\\%$</tex-math></inline-formula> and achieves more accurate results in less time compared to traditional ADMM beamforming algorithms.","PeriodicalId":13154,"journal":{"name":"IEEE Signal Processing Letters","volume":"32 ","pages":"526-530"},"PeriodicalIF":3.2000,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Signal Processing Letters","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10816302/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
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.
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.