Shiwen Fan, Shu Fang, Yan Zhao, Yue Xiao, Xiaotian Zhou
{"title":"MMSE-based Detector for Generalized Space-Time-Frequency Index Modulation Systems with Carrier Frequency Offsets","authors":"Shiwen Fan, Shu Fang, Yan Zhao, Yue Xiao, Xiaotian Zhou","doi":"10.1109/ICCT46805.2019.8947006","DOIUrl":null,"url":null,"abstract":"In this paper, a novel minimum mean square error (MMSE) detector is proposed in generalized space-time-frequency index modulation (GSTFIM) system with carrier frequency offset (CFO). Specifically, the influence of CFO is considered as a component-wide product of the CFO matrix and the frequency domain channel matrix. Furthermore, the inter-carrier interference (ICI) cancellation is realized by the proposed MMSE detector. Simulation results show that the proposed MMSE detector can obtain better performance compared to conventional parallel interference cancellation aided maximum likelihood (PIC-ML) detector.","PeriodicalId":306112,"journal":{"name":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 19th International Conference on Communication Technology (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT46805.2019.8947006","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
In this paper, a novel minimum mean square error (MMSE) detector is proposed in generalized space-time-frequency index modulation (GSTFIM) system with carrier frequency offset (CFO). Specifically, the influence of CFO is considered as a component-wide product of the CFO matrix and the frequency domain channel matrix. Furthermore, the inter-carrier interference (ICI) cancellation is realized by the proposed MMSE detector. Simulation results show that the proposed MMSE detector can obtain better performance compared to conventional parallel interference cancellation aided maximum likelihood (PIC-ML) detector.