{"title":"Low complexity time-domain channel estimation for OFDM using training symbols","authors":"Mo Zhu, A. Awoseyila, B. Evans","doi":"10.1109/ASMS-SPSC.2010.5586879","DOIUrl":null,"url":null,"abstract":"A low complexity time domain channel estimation technique for OFDM systems is proposed. It uses training symbols to estimate the channel impulse responses (CIR) via circular cross-correlation. A CIR search window technique is also proposed to optimise the accuracy of synchronisation and channel estimation. The output of the search window can also be used for the estimation of channel delay spread. Simulation results show that the proposed method provides near-ideal accuracy with a complexity much lower than the MMSE technique.","PeriodicalId":221214,"journal":{"name":"2010 5th Advanced Satellite Multimedia Systems Conference and the 11th Signal Processing for Space Communications Workshop","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 5th Advanced Satellite Multimedia Systems Conference and the 11th Signal Processing for Space Communications Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASMS-SPSC.2010.5586879","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
A low complexity time domain channel estimation technique for OFDM systems is proposed. It uses training symbols to estimate the channel impulse responses (CIR) via circular cross-correlation. A CIR search window technique is also proposed to optimise the accuracy of synchronisation and channel estimation. The output of the search window can also be used for the estimation of channel delay spread. Simulation results show that the proposed method provides near-ideal accuracy with a complexity much lower than the MMSE technique.