{"title":"A robust adaptive beamforming algorithm based on LSCMA","authors":"Zeeshan Ahmad, Song Yaoliang, Qiang Du","doi":"10.1109/RTTR.2017.7887861","DOIUrl":null,"url":null,"abstract":"A robust adaptive beamforming algorithm based on least square constant modulus algorithm (LSCMA) is proposed in this paper. The CMA adaptive array was designed to lock onto the desired signal having the constant modulus property. The proposed algorithm employs both the DOA information as well as the constant modulus property of the signals. This enables the beamformer to avoid self-cancellation caused by the desired signal having large power (high SNR) relative to the interference signal, while maintaining the good performance at low SNR. Simulation results demonstrate the superiority of the proposed algorithm especially for the case of desired signals having large dynamic range.","PeriodicalId":339960,"journal":{"name":"2017 2nd Workshop on Recent Trends in Telecommunications Research (RTTR)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd Workshop on Recent Trends in Telecommunications Research (RTTR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTTR.2017.7887861","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A robust adaptive beamforming algorithm based on least square constant modulus algorithm (LSCMA) is proposed in this paper. The CMA adaptive array was designed to lock onto the desired signal having the constant modulus property. The proposed algorithm employs both the DOA information as well as the constant modulus property of the signals. This enables the beamformer to avoid self-cancellation caused by the desired signal having large power (high SNR) relative to the interference signal, while maintaining the good performance at low SNR. Simulation results demonstrate the superiority of the proposed algorithm especially for the case of desired signals having large dynamic range.