{"title":"基于约束归一化自适应算法的多天线CDMA移动接收","authors":"S. Werner, J. A. Apolinário, T. Laakso","doi":"10.1109/ITS.1998.713146","DOIUrl":null,"url":null,"abstract":"We analyze adaptive algorithms for a multiple-antenna code division multiple access (CDMA) mobile receiver. We study the constrained versions of the binormalized data-reusing LMS (BNDR-LMS) and the normalized LMS (NLMS). Their performance is compared with that of the classical Frost algorithm. Time-varying step-sequences are used to further enhance the performance of the receiver. The results show that considerable improvement in the convergence speed can be achieved with the use of the normalized algorithms compared with the conventional Frost algorithm. Using an optimal step-sequence in the update provides a fast convergence and a near-optimum steady-state performance.","PeriodicalId":205350,"journal":{"name":"ITS'98 Proceedings. SBT/IEEE International Telecommunications Symposium (Cat. No.98EX202)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Multiple-antenna CDMA mobile reception using constrained normalized adaptive algorithms\",\"authors\":\"S. Werner, J. A. Apolinário, T. Laakso\",\"doi\":\"10.1109/ITS.1998.713146\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We analyze adaptive algorithms for a multiple-antenna code division multiple access (CDMA) mobile receiver. We study the constrained versions of the binormalized data-reusing LMS (BNDR-LMS) and the normalized LMS (NLMS). Their performance is compared with that of the classical Frost algorithm. Time-varying step-sequences are used to further enhance the performance of the receiver. The results show that considerable improvement in the convergence speed can be achieved with the use of the normalized algorithms compared with the conventional Frost algorithm. Using an optimal step-sequence in the update provides a fast convergence and a near-optimum steady-state performance.\",\"PeriodicalId\":205350,\"journal\":{\"name\":\"ITS'98 Proceedings. SBT/IEEE International Telecommunications Symposium (Cat. No.98EX202)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ITS'98 Proceedings. SBT/IEEE International Telecommunications Symposium (Cat. No.98EX202)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITS.1998.713146\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ITS'98 Proceedings. SBT/IEEE International Telecommunications Symposium (Cat. No.98EX202)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITS.1998.713146","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiple-antenna CDMA mobile reception using constrained normalized adaptive algorithms
We analyze adaptive algorithms for a multiple-antenna code division multiple access (CDMA) mobile receiver. We study the constrained versions of the binormalized data-reusing LMS (BNDR-LMS) and the normalized LMS (NLMS). Their performance is compared with that of the classical Frost algorithm. Time-varying step-sequences are used to further enhance the performance of the receiver. The results show that considerable improvement in the convergence speed can be achieved with the use of the normalized algorithms compared with the conventional Frost algorithm. Using an optimal step-sequence in the update provides a fast convergence and a near-optimum steady-state performance.