高阶多模型信道和序列估计

2006 IEEE Nonlinear Statistical Signal Processing Workshop Pub Date : 2006-09-01 DOI:10.1109/NSSPW.2006.4378856

H. Kulatunga, V. Kadirkamanathan

{"title":"高阶多模型信道和序列估计","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":"{\"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}","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

摘要

针对ISI无线信道中的线性均衡和检测问题，提出了一种高阶多模型方法。本文以高阶相互作用多模型(HIMM)算法为基础，给出了该算法本身的贝叶斯统计描述及其在联合序列估计中的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

High-Order Multiple Model Channel and Sequence Estimation

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2006 IEEE Nonlinear Statistical Signal Processing Workshop

自引率

0.00%

发文量