{"title":"Blind multiuser equalization for time-varying channels","authors":"H. Artes, F. Hlawatsch","doi":"10.1109/SPAWC.2001.923854","DOIUrl":null,"url":null,"abstract":"We propose two methods for deterministic blind equalization of linear time-varying (LTV) channels with multiple users. Our approach is based on an LTI (linear time invariant) multichannel representation of LTV channels. With the first method, the multiuser channel is equalized up to an instantaneous mixture that is subsequently resolved by means of a POCS (projections onto convex sets) algorithm. The second method performs the entire equalization (including resolution of the instantaneous mixture) by means of a POCS algorithm. Simulation results demonstrate the good performance of our methods.","PeriodicalId":435867,"journal":{"name":"2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01). Workshop Proceedings (Cat. No.01EX471)","volume":"395 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC'01). Workshop Proceedings (Cat. No.01EX471)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2001.923854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
We propose two methods for deterministic blind equalization of linear time-varying (LTV) channels with multiple users. Our approach is based on an LTI (linear time invariant) multichannel representation of LTV channels. With the first method, the multiuser channel is equalized up to an instantaneous mixture that is subsequently resolved by means of a POCS (projections onto convex sets) algorithm. The second method performs the entire equalization (including resolution of the instantaneous mixture) by means of a POCS algorithm. Simulation results demonstrate the good performance of our methods.
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