{"title":"Channel estimation and symbol detection for space-time codes in mobility conditions","authors":"S. Perreau, L. White","doi":"10.1109/IZSBC.2000.829237","DOIUrl":null,"url":null,"abstract":"In this paper, we present a method for jointly estimating time varying channels and detecting the sequence of information bits for space-time codes. This work is motivated by the fact that the bandwidth and power efficiency of space-time codes can be significantly degraded in the presence of channel estimation errors due to mobility and multipath. Our method does not require the use of a training sequence or any statistical assumptions on the channel characteristics. We explicitly use the knowledge of the space-time codes and therefore, fully exploit their property of space/time diversity. We present in this draft simulation examples which show the ability of the algorithm to track variations of the channels.","PeriodicalId":409898,"journal":{"name":"2000 International Zurich Seminar on Broadband Communications. Accessing, Transmission, Networking. Proceedings (Cat. No.00TH8475)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 International Zurich Seminar on Broadband Communications. Accessing, Transmission, Networking. Proceedings (Cat. No.00TH8475)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IZSBC.2000.829237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper, we present a method for jointly estimating time varying channels and detecting the sequence of information bits for space-time codes. This work is motivated by the fact that the bandwidth and power efficiency of space-time codes can be significantly degraded in the presence of channel estimation errors due to mobility and multipath. Our method does not require the use of a training sequence or any statistical assumptions on the channel characteristics. We explicitly use the knowledge of the space-time codes and therefore, fully exploit their property of space/time diversity. We present in this draft simulation examples which show the ability of the algorithm to track variations of the channels.