{"title":"Fast converging blind adaptive multiuser detectors with linearly constrained CMA for DS/CDMA systems","authors":"Liping Sun, G. Bi, L. Zhang","doi":"10.1109/ISSSTA.2004.1371683","DOIUrl":null,"url":null,"abstract":"The paper presents a fast converging blind adaptive multiuser detector with modified linearly constrained CMA for DS/CDMA systems. By selecting a suitable linearly constrained cost function, the performance of the proposed algorithm is improved in terms of the capability of suppressing multiple access interference and dynamic tracing. Simulation results show that the proposed algorithm provides a faster convergence to reach a steady-state than similar algorithms in dynamic environments.","PeriodicalId":340769,"journal":{"name":"Eighth IEEE International Symposium on Spread Spectrum Techniques and Applications - Programme and Book of Abstracts (IEEE Cat. No.04TH8738)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eighth IEEE International Symposium on Spread Spectrum Techniques and Applications - Programme and Book of Abstracts (IEEE Cat. No.04TH8738)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSSTA.2004.1371683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
The paper presents a fast converging blind adaptive multiuser detector with modified linearly constrained CMA for DS/CDMA systems. By selecting a suitable linearly constrained cost function, the performance of the proposed algorithm is improved in terms of the capability of suppressing multiple access interference and dynamic tracing. Simulation results show that the proposed algorithm provides a faster convergence to reach a steady-state than similar algorithms in dynamic environments.