{"title":"Channel shortening algorithms for multiple intersymbol interference channels","authors":"Sha Hu, F. Rusek","doi":"10.1109/PIMRC.2016.7794757","DOIUrl":null,"url":null,"abstract":"We consider channel shortening (CS) algorithms for communication systems where multiple single antenna nodes are transmitting single carrier signals to a single antenna receiver over known intersymbol interference channels. We discuss seven methods to shorten the intersymbol interference (ISI) channels, and the parameters are optimized from a generalized mutual information (GMI) perspective. The motivation for dealing with seven methods is that each one may come across as the “natural” CS receiver, and we therefore consider them all in order to compare their performances. A favorable outcome is that the strongest method is also the one that is easiest to optimize.","PeriodicalId":137845,"journal":{"name":"2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIMRC.2016.7794757","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
We consider channel shortening (CS) algorithms for communication systems where multiple single antenna nodes are transmitting single carrier signals to a single antenna receiver over known intersymbol interference channels. We discuss seven methods to shorten the intersymbol interference (ISI) channels, and the parameters are optimized from a generalized mutual information (GMI) perspective. The motivation for dealing with seven methods is that each one may come across as the “natural” CS receiver, and we therefore consider them all in order to compare their performances. A favorable outcome is that the strongest method is also the one that is easiest to optimize.