{"title":"Structured subchannel impulse response estimation for Filter Bank based Multicarrier systems","authors":"L. Baltar, M. Newinger, J. Nossek","doi":"10.1109/ISWCS.2012.6328356","DOIUrl":null,"url":null,"abstract":"In a Filter Bank based Multicarrier (FBMC) system employed in a highly frequency selective propagation channel each subchannel experiences a multi-tap impulse response (IR). In this contribution we present an efficient method of estimating the IR of the propagation channel experienced by each subchannel, the so-called structured channel estimation. The structured subchannel IR estimation allows us to isolate the propagation channel from the transmit and receive filters. As a consequence the number of parameters to be estimated is reduced as well as the length of the training sequence.","PeriodicalId":167119,"journal":{"name":"2012 International Symposium on Wireless Communication Systems (ISWCS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Symposium on Wireless Communication Systems (ISWCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2012.6328356","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
In a Filter Bank based Multicarrier (FBMC) system employed in a highly frequency selective propagation channel each subchannel experiences a multi-tap impulse response (IR). In this contribution we present an efficient method of estimating the IR of the propagation channel experienced by each subchannel, the so-called structured channel estimation. The structured subchannel IR estimation allows us to isolate the propagation channel from the transmit and receive filters. As a consequence the number of parameters to be estimated is reduced as well as the length of the training sequence.