{"title":"不可约MIMO信道的盲信号分离与盲系统识别","authors":"Senjian An, Y. Hua","doi":"10.1109/ISSPA.2001.949831","DOIUrl":null,"url":null,"abstract":"This paper deals with blind system identification of FIR MIMO (finite impulse response and multi input multi output) channels driven by colored signals. Based on second order statistics, a novel technique of blind identification is developed for irreducible MIMO channels. It requires a weaker condition on the input power spectra than some existing blind system identification methods and the computation is also reduced.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Blind signal separation and blind system identification of irreducible MIMO channels\",\"authors\":\"Senjian An, Y. Hua\",\"doi\":\"10.1109/ISSPA.2001.949831\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with blind system identification of FIR MIMO (finite impulse response and multi input multi output) channels driven by colored signals. Based on second order statistics, a novel technique of blind identification is developed for irreducible MIMO channels. It requires a weaker condition on the input power spectra than some existing blind system identification methods and the computation is also reduced.\",\"PeriodicalId\":236050,\"journal\":{\"name\":\"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)\",\"volume\":\"165 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPA.2001.949831\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2001.949831","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blind signal separation and blind system identification of irreducible MIMO channels
This paper deals with blind system identification of FIR MIMO (finite impulse response and multi input multi output) channels driven by colored signals. Based on second order statistics, a novel technique of blind identification is developed for irreducible MIMO channels. It requires a weaker condition on the input power spectra than some existing blind system identification methods and the computation is also reduced.
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