{"title":"基于最小二乘的MIMO中继信道估计","authors":"Panagiota Lioliou, M. Viberg","doi":"10.1109/WSA.2008.4475542","DOIUrl":null,"url":null,"abstract":"A least-squares based channel estimation algorithm is proposed for relay-assisted wireless multiple-input multiple-output (MIMO) channels. The method consists of a sequence of LS-problems with the purpose to arrive to a computationally efficient solution. The performance of the proposed algorithm is evaluated as a function of the input signal-to-noise ratio (SNR) for randomly generated Rayleigh flat fading channels. Finally, we study the effect of the channel estimation error on the performance of a MIMO zero-forcing receiver in order to verify the presented analysis.","PeriodicalId":255495,"journal":{"name":"2008 International ITG Workshop on Smart Antennas","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"74","resultStr":"{\"title\":\"Least-Squares based channel estimation for MIMO relays\",\"authors\":\"Panagiota Lioliou, M. Viberg\",\"doi\":\"10.1109/WSA.2008.4475542\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A least-squares based channel estimation algorithm is proposed for relay-assisted wireless multiple-input multiple-output (MIMO) channels. The method consists of a sequence of LS-problems with the purpose to arrive to a computationally efficient solution. The performance of the proposed algorithm is evaluated as a function of the input signal-to-noise ratio (SNR) for randomly generated Rayleigh flat fading channels. Finally, we study the effect of the channel estimation error on the performance of a MIMO zero-forcing receiver in order to verify the presented analysis.\",\"PeriodicalId\":255495,\"journal\":{\"name\":\"2008 International ITG Workshop on Smart Antennas\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"74\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International ITG Workshop on Smart Antennas\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WSA.2008.4475542\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International ITG Workshop on Smart Antennas","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WSA.2008.4475542","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Least-Squares based channel estimation for MIMO relays
A least-squares based channel estimation algorithm is proposed for relay-assisted wireless multiple-input multiple-output (MIMO) channels. The method consists of a sequence of LS-problems with the purpose to arrive to a computationally efficient solution. The performance of the proposed algorithm is evaluated as a function of the input signal-to-noise ratio (SNR) for randomly generated Rayleigh flat fading channels. Finally, we study the effect of the channel estimation error on the performance of a MIMO zero-forcing receiver in order to verify the presented analysis.
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