{"title":"Improving Estimation of a Sparse Channel for OFDM Systems by Utilizing Side Information*","authors":"S. M. H. Rafsanjani, S. Ghazi-Maghrebi","doi":"10.1109/ISNCC.2019.8909139","DOIUrl":null,"url":null,"abstract":"Utilizing sparse representation to find estimation of a channel for an OFDM system become common, because channels are inherently sparse and there is an underdetermined system of linear equation between samples of frequency response of the channel and the channel impulse response. In addition to the sparsity feature of the channel there are additional information about the channel which are omitted in common sparse representation methods. This paper is prepared to propose a method to contribute this information into sparse representation process and improving the estimation of the channel. We also discuss the uniqueness of the final answer under this new circumstance.","PeriodicalId":187178,"journal":{"name":"2019 International Symposium on Networks, Computers and Communications (ISNCC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Symposium on Networks, Computers and Communications (ISNCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISNCC.2019.8909139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Utilizing sparse representation to find estimation of a channel for an OFDM system become common, because channels are inherently sparse and there is an underdetermined system of linear equation between samples of frequency response of the channel and the channel impulse response. In addition to the sparsity feature of the channel there are additional information about the channel which are omitted in common sparse representation methods. This paper is prepared to propose a method to contribute this information into sparse representation process and improving the estimation of the channel. We also discuss the uniqueness of the final answer under this new circumstance.