{"title":"High-Order Multiple Model Channel and Sequence Estimation","authors":"H. Kulatunga, V. Kadirkamanathan","doi":"10.1109/NSSPW.2006.4378856","DOIUrl":null,"url":null,"abstract":"A high-order multiple model approach is proposed for linear equalization and detection problem in ISI wireless channels. This paper is based on the high-order interacting multiple model (HIMM) algorithm and gives a Bayesian statistical description of the algorithm itself and its application to joint sequence estimation.","PeriodicalId":388611,"journal":{"name":"2006 IEEE Nonlinear Statistical Signal Processing Workshop","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Nonlinear Statistical Signal Processing Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSPW.2006.4378856","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
A high-order multiple model approach is proposed for linear equalization and detection problem in ISI wireless channels. This paper is based on the high-order interacting multiple model (HIMM) algorithm and gives a Bayesian statistical description of the algorithm itself and its application to joint sequence estimation.
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