{"title":"Research on least square channel estimation algorithm based on phase compensation","authors":"Dang Jingjing, Cheng Li, Yuan Meng","doi":"10.1109/COMPCOMM.2016.7924980","DOIUrl":null,"url":null,"abstract":"Channel estimation is very important in a communication system. An important indicator for the evaluation of a wireless communication system is the symbol error rate of channel estimation. With the analysis of least square (LS) channel estimation algorithm, this paper proposed an improved LS channel estimation algorithm based on phase compensation. Experimental results show that this algorithm can effectively reduce the symbol error rate of the system and improve the accuracy of the LS algorithm. Furthermore, the proposed algorithm reduces the impacts of system's frequency offset on channel estimation.","PeriodicalId":210833,"journal":{"name":"2016 2nd IEEE International Conference on Computer and Communications (ICCC)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd IEEE International Conference on Computer and Communications (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPCOMM.2016.7924980","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Channel estimation is very important in a communication system. An important indicator for the evaluation of a wireless communication system is the symbol error rate of channel estimation. With the analysis of least square (LS) channel estimation algorithm, this paper proposed an improved LS channel estimation algorithm based on phase compensation. Experimental results show that this algorithm can effectively reduce the symbol error rate of the system and improve the accuracy of the LS algorithm. Furthermore, the proposed algorithm reduces the impacts of system's frequency offset on channel estimation.