{"title":"Performance Analysis of Adaptive Beamforming Algorithms for Smart Antennas","authors":"Prerna Saxena, A.G. Kothari","doi":"10.1016/j.ieri.2014.09.101","DOIUrl":null,"url":null,"abstract":"<div><p>In this paper, adaptive beamforming techniques for smart antennas based upon Least Mean Squares (LMS), Sample Matrix Inversion (SMI), Recursive Least Squares (RLS) and Conjugate Gradient Method (CGM) are discussed and analyzed. The beamforming performance is studied by varying the element spacing and the number of antenna array elements for each algorithm. These four algorithms are compared for their rate of convergence, beamforming and null steering performance (beamwidth, null depths and maximum side lobe level).</p></div>","PeriodicalId":100649,"journal":{"name":"IERI Procedia","volume":"10 ","pages":"Pages 131-137"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.ieri.2014.09.101","citationCount":"61","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IERI Procedia","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221266781400149X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 61
Abstract
In this paper, adaptive beamforming techniques for smart antennas based upon Least Mean Squares (LMS), Sample Matrix Inversion (SMI), Recursive Least Squares (RLS) and Conjugate Gradient Method (CGM) are discussed and analyzed. The beamforming performance is studied by varying the element spacing and the number of antenna array elements for each algorithm. These four algorithms are compared for their rate of convergence, beamforming and null steering performance (beamwidth, null depths and maximum side lobe level).
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
