{"title":"RLS-based blind adaptive beamforming algorithm for antenna array in CDMA systems","authors":"Jian Yang, H. Xi, Feng Yang","doi":"10.1109/ICIA.2005.1635100","DOIUrl":null,"url":null,"abstract":"In this paper, the maximum signal-to-(interference plus noise) ratio (MSINR) beamforming problem in antenna array CDMA systems is considered. We reinterpret a modified MSINR criterion as an unconstrained scalar cost function. By applying recursive least-squares (RLS) to minimize the cost function, we derive a novel blind adaptive beamforming algorithm to estimate the beamforming vector which optimally combines the desired signal contributions from different antenna elements while suppressing noise and interference. A rigorous analysis of the convergence properties of the algorithm by using the stochastic approximation theory is given. Simulation results are presented to show the performance of the proposed algorithm.","PeriodicalId":136611,"journal":{"name":"2005 IEEE International Conference on Information Acquisition","volume":"149 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE International Conference on Information Acquisition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIA.2005.1635100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
In this paper, the maximum signal-to-(interference plus noise) ratio (MSINR) beamforming problem in antenna array CDMA systems is considered. We reinterpret a modified MSINR criterion as an unconstrained scalar cost function. By applying recursive least-squares (RLS) to minimize the cost function, we derive a novel blind adaptive beamforming algorithm to estimate the beamforming vector which optimally combines the desired signal contributions from different antenna elements while suppressing noise and interference. A rigorous analysis of the convergence properties of the algorithm by using the stochastic approximation theory is given. Simulation results are presented to show the performance of the proposed algorithm.
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