{"title":"Blind Bayesian multiuser receiver for space-time coded MC-CDMA system over frequency-selective fading channel","authors":"Zigang Yang, Ben Lu, Xiaodong Wang","doi":"10.1109/GLOCOM.2001.965525","DOIUrl":null,"url":null,"abstract":"We consider the design of a blind optimal multiuser receiver for space-time block coded (STBC) multi-carrier code-division multiple-access (MC-CDMA) systems in unknown frequency-selective fading channels. A novel blind Bayesian multiuser detector is derived for joint estimation of unknown fading channel and symbols. Such a detector is based on the Bayesian inference of all unknown quantities. The Gibbs sampler, a Markov chain Monte Carlo (MCMC) method, is then used for Bayesian computation. Moreover, being soft-input and soft-output, the proposed Bayesian multiuser detector fits well into the turbo receiver framework and it exchanges the extrinsic information with the MAP channel decoder to successively refine its performance. Finally, its performance over random generated slow and fast frequency-selective fading channel is demonstrated through simulation examples.","PeriodicalId":346622,"journal":{"name":"GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOCOM.2001.965525","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
We consider the design of a blind optimal multiuser receiver for space-time block coded (STBC) multi-carrier code-division multiple-access (MC-CDMA) systems in unknown frequency-selective fading channels. A novel blind Bayesian multiuser detector is derived for joint estimation of unknown fading channel and symbols. Such a detector is based on the Bayesian inference of all unknown quantities. The Gibbs sampler, a Markov chain Monte Carlo (MCMC) method, is then used for Bayesian computation. Moreover, being soft-input and soft-output, the proposed Bayesian multiuser detector fits well into the turbo receiver framework and it exchanges the extrinsic information with the MAP channel decoder to successively refine its performance. Finally, its performance over random generated slow and fast frequency-selective fading channel is demonstrated through simulation examples.