{"title":"Time- vs. Frequency-Domain Channel Estimation in MIMO LOS Frequency-Selective Channels","authors":"K. Ntontin, Nikolaos D. Skentos, F. Lazarakis","doi":"10.1109/ISSPIT51521.2020.9408923","DOIUrl":null,"url":null,"abstract":"Motivated by the importance of multiple-input and multiple output line-of-sight communication in next generation backhaul networks, in this work we provide an overhead and performance comparison between time- and frequency-domain channel estimation in a bursty 2x2 LOS environment with single-carrier transmission and frequency-domain equalization at the receiver. For both types of channel estimation, analytical expressions for the weights of the involved equalizers are provided in the case of minimum-mean square error equalization. Finally, simulation results are provided regarding their error rate comparison and a discussion concerning their training overhead requirements.","PeriodicalId":111385,"journal":{"name":"2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT51521.2020.9408923","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Motivated by the importance of multiple-input and multiple output line-of-sight communication in next generation backhaul networks, in this work we provide an overhead and performance comparison between time- and frequency-domain channel estimation in a bursty 2x2 LOS environment with single-carrier transmission and frequency-domain equalization at the receiver. For both types of channel estimation, analytical expressions for the weights of the involved equalizers are provided in the case of minimum-mean square error equalization. Finally, simulation results are provided regarding their error rate comparison and a discussion concerning their training overhead requirements.