{"title":"无线MIMO通信中自相关匹配方法的封闭解","authors":"Hui Luo, L. Luo, Ruey-Wen Liu","doi":"10.1109/MMSP.2002.1203328","DOIUrl":null,"url":null,"abstract":"Wireless MIMO (multiple input multiple output) communication techniques are proposed to boost spectrum efficiency using antenna arrays so that broadband data such as multimedia signals can be transmitted over a limited bandwidth. The AM (autocorrelation matching) method is a SOS (second-order statistics) based blind MIMO-FIR equalization technique that may enable wireless MIMO communications without identifying MIMO-FIR channels. This paper presents a closed-form solution to computing the optimal zero-forcing equalizer for the AM method using the knowledge of second-order statistics of the transmitted signals and received signals. Numerical simulations are given to show the effectiveness of the AM method and the performance of the closed-form solution.","PeriodicalId":398813,"journal":{"name":"2002 IEEE Workshop on Multimedia Signal Processing.","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A closed-form solution to the autocorrelation matching method for wireless MIMO communications\",\"authors\":\"Hui Luo, L. Luo, Ruey-Wen Liu\",\"doi\":\"10.1109/MMSP.2002.1203328\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless MIMO (multiple input multiple output) communication techniques are proposed to boost spectrum efficiency using antenna arrays so that broadband data such as multimedia signals can be transmitted over a limited bandwidth. The AM (autocorrelation matching) method is a SOS (second-order statistics) based blind MIMO-FIR equalization technique that may enable wireless MIMO communications without identifying MIMO-FIR channels. This paper presents a closed-form solution to computing the optimal zero-forcing equalizer for the AM method using the knowledge of second-order statistics of the transmitted signals and received signals. Numerical simulations are given to show the effectiveness of the AM method and the performance of the closed-form solution.\",\"PeriodicalId\":398813,\"journal\":{\"name\":\"2002 IEEE Workshop on Multimedia Signal Processing.\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2002 IEEE Workshop on Multimedia Signal Processing.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMSP.2002.1203328\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2002 IEEE Workshop on Multimedia Signal Processing.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMSP.2002.1203328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A closed-form solution to the autocorrelation matching method for wireless MIMO communications
Wireless MIMO (multiple input multiple output) communication techniques are proposed to boost spectrum efficiency using antenna arrays so that broadband data such as multimedia signals can be transmitted over a limited bandwidth. The AM (autocorrelation matching) method is a SOS (second-order statistics) based blind MIMO-FIR equalization technique that may enable wireless MIMO communications without identifying MIMO-FIR channels. This paper presents a closed-form solution to computing the optimal zero-forcing equalizer for the AM method using the knowledge of second-order statistics of the transmitted signals and received signals. Numerical simulations are given to show the effectiveness of the AM method and the performance of the closed-form solution.
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