{"title":"Notice of RetractionAdaptive Turbo Equalization Algorithm Based on the Estimation of Channel Characteristics","authors":"Shuxia Guo, Guodong Huang, Bing Liu","doi":"10.1109/ETCS.2010.585","DOIUrl":null,"url":null,"abstract":"A novel adaptive Turbo equalization algorithm based on the serious inter-symbol interference (ISI) in wireless channel is proposed. The channel characteristics are estimated through combining iterative recursive least square (RLS) with least mean square(LMS) and channel's changes are traced; and the soft interference cancellation (SIC) algorithm for Turbo equalization and the iterative calculations between equalizer and decoder are employed. Simulation results show that adaptive Turbo equalization achieves nearly 1.5 dB gain at 10-4 of BER compared with the conventional RLS, and reduces the complexity of calculation.","PeriodicalId":193276,"journal":{"name":"2010 Second International Workshop on Education Technology and Computer Science","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Workshop on Education Technology and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETCS.2010.585","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
A novel adaptive Turbo equalization algorithm based on the serious inter-symbol interference (ISI) in wireless channel is proposed. The channel characteristics are estimated through combining iterative recursive least square (RLS) with least mean square(LMS) and channel's changes are traced; and the soft interference cancellation (SIC) algorithm for Turbo equalization and the iterative calculations between equalizer and decoder are employed. Simulation results show that adaptive Turbo equalization achieves nearly 1.5 dB gain at 10-4 of BER compared with the conventional RLS, and reduces the complexity of calculation.
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