{"title":"Comparison of low complexity receiver techniques for faster-than-nyquist signaling","authors":"Guangna Zhang, Mingxi Guo, Yue-hong Shen","doi":"10.1109/RADAR.2016.8059452","DOIUrl":null,"url":null,"abstract":"FTN signaling is seen as a promising technique to improve the bandwidth efficiency, and it uses faster symbol rate than Nyquist rate. However the inter-symbol interference (ISI) is inevitable in the receiver, which results in high computational complexity in the receiver. In order to reduce the interference effectively, low complexity receiver technologies and the improved algorithms are proposed, including: Windows Chase Equalization (WCE) and FTN-MWCE, Iterative Decision Feedback Equalization (IBDFE) and LC-IBDFE, Decision Feedback Equalization (DFE) and Partial Decision Feedback Equalization (PDFE). The analysis and comparison of these low complexity algorithms were given from computational complexity and BER performance. Advantages and disadvantages as well as applications are also presented.","PeriodicalId":245387,"journal":{"name":"2016 CIE International Conference on Radar (RADAR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 CIE International Conference on Radar (RADAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2016.8059452","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
FTN signaling is seen as a promising technique to improve the bandwidth efficiency, and it uses faster symbol rate than Nyquist rate. However the inter-symbol interference (ISI) is inevitable in the receiver, which results in high computational complexity in the receiver. In order to reduce the interference effectively, low complexity receiver technologies and the improved algorithms are proposed, including: Windows Chase Equalization (WCE) and FTN-MWCE, Iterative Decision Feedback Equalization (IBDFE) and LC-IBDFE, Decision Feedback Equalization (DFE) and Partial Decision Feedback Equalization (PDFE). The analysis and comparison of these low complexity algorithms were given from computational complexity and BER performance. Advantages and disadvantages as well as applications are also presented.