{"title":"A new joint channel estimation and detection algorithm for MIMO channels","authors":"E. Karami, M. Shiva","doi":"10.1109/APCC.2003.1274359","DOIUrl":null,"url":null,"abstract":"In this paper, a new joint channel estimation and detection algorithm for frequency selective fading multiple-input multiple-output (MIMO) channels is proposed. In the channel estimation section, using a generalized form of least square (LS) algorithm, a very accurate estimate of channel parameters is obtained. The procedure of detection is done in two stages. In the first stage the inter-symbol-interference (ISI) of previous stages is subtracted and then in the second stage, using a joint detection algorithm, the transmitted symbols are estimated. Parallel-interference-cancellator (PIC) and minimum-mean-square-estimator (MMSE) are used as MIMO detectors. The efficiency of the proposed algorithm, in time-varying MIMO channels is confirmed through various simulations.","PeriodicalId":277507,"journal":{"name":"9th Asia-Pacific Conference on Communications (IEEE Cat. No.03EX732)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"9th Asia-Pacific Conference on Communications (IEEE Cat. No.03EX732)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCC.2003.1274359","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, a new joint channel estimation and detection algorithm for frequency selective fading multiple-input multiple-output (MIMO) channels is proposed. In the channel estimation section, using a generalized form of least square (LS) algorithm, a very accurate estimate of channel parameters is obtained. The procedure of detection is done in two stages. In the first stage the inter-symbol-interference (ISI) of previous stages is subtracted and then in the second stage, using a joint detection algorithm, the transmitted symbols are estimated. Parallel-interference-cancellator (PIC) and minimum-mean-square-estimator (MMSE) are used as MIMO detectors. The efficiency of the proposed algorithm, in time-varying MIMO channels is confirmed through various simulations.
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