{"title":"Improved performance of blind equalization using prior knowledge of transmitter filter","authors":"S. V. Schell, D.L. Smith","doi":"10.1109/MILCOM.1994.473822","DOIUrl":null,"url":null,"abstract":"Recent progress by several groups around the world shows that moving average linear time-invariant channels that distort digital communication signals can be identified using only second-order statistics, provided that certain conditions on the channel and data are met. In this paper, a subchannel response matching channel identification method is modified to exploit prior knowledge of the pulse-shaping filter. Computer simulations demonstrate the method's performance as a channel estimator and as an equalizer compared to appropriate lower bounds on the normalized channel estimation error and the bit error rate.<<ETX>>","PeriodicalId":337873,"journal":{"name":"Proceedings of MILCOM '94","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of MILCOM '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.1994.473822","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
Recent progress by several groups around the world shows that moving average linear time-invariant channels that distort digital communication signals can be identified using only second-order statistics, provided that certain conditions on the channel and data are met. In this paper, a subchannel response matching channel identification method is modified to exploit prior knowledge of the pulse-shaping filter. Computer simulations demonstrate the method's performance as a channel estimator and as an equalizer compared to appropriate lower bounds on the normalized channel estimation error and the bit error rate.<>