{"title":"低复杂度延迟控制盲MMSE/ZF多通道均衡","authors":"H. Gazzah","doi":"10.1109/IEEEGCC.2011.5752472","DOIUrl":null,"url":null,"abstract":"We propose a blind equalization algorithm that computes the MMSE/ZF equalizer with a specified length and delay. Little computation is needed in addition to the eigen vector decomposition of the channel covariance matrix, resulting in a complexity significantly lower than that of the only existing comparable algorithm.","PeriodicalId":119104,"journal":{"name":"2011 IEEE GCC Conference and Exhibition (GCC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Low-complexity delay-controlled blind MMSE/ZF multichannel equalization\",\"authors\":\"H. Gazzah\",\"doi\":\"10.1109/IEEEGCC.2011.5752472\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a blind equalization algorithm that computes the MMSE/ZF equalizer with a specified length and delay. Little computation is needed in addition to the eigen vector decomposition of the channel covariance matrix, resulting in a complexity significantly lower than that of the only existing comparable algorithm.\",\"PeriodicalId\":119104,\"journal\":{\"name\":\"2011 IEEE GCC Conference and Exhibition (GCC)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE GCC Conference and Exhibition (GCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEEGCC.2011.5752472\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE GCC Conference and Exhibition (GCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEEGCC.2011.5752472","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose a blind equalization algorithm that computes the MMSE/ZF equalizer with a specified length and delay. Little computation is needed in addition to the eigen vector decomposition of the channel covariance matrix, resulting in a complexity significantly lower than that of the only existing comparable algorithm.