{"title":"A Low-Complexity Double EP-Based DFE for Turbo Equalization","authors":"Congji Yin, Wenjiang Feng, Junbing Li, Guojun Li","doi":"10.23919/eusipco55093.2022.9909782","DOIUrl":null,"url":null,"abstract":"In this paper, a new double expectation propagation-based decision feedback equalizer (DEP-DFE) for server inter-symbol interference (ISI) channels employing turbo equalization is proposed. The EP algorithm is used at the equalizer output and the channel decoder output. The proposed DEP-DFE offers a new approach to alleviate error propagation. Additionally, its computational complexity is nearly half of the EP-based minimum mean square error (MMSE)-based linear equalizer (EP-MMSE-LE) proposed by Santos et al. The bit error ratio performance of the proposed equalizer is verified through simulation in the well-known severely frequency selective Proakis-C channel for different scenarios. Simulation results demonstrate that the proposed DEP-DFE can achieve similar or better performance than the EP-MMSE-LE. Moreover, it has significant improvement over the double expectation propagation-based MMSE-LE (DEP-MMSE-LE).","PeriodicalId":231263,"journal":{"name":"2022 30th European Signal Processing Conference (EUSIPCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 30th European Signal Processing Conference (EUSIPCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/eusipco55093.2022.9909782","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
In this paper, a new double expectation propagation-based decision feedback equalizer (DEP-DFE) for server inter-symbol interference (ISI) channels employing turbo equalization is proposed. The EP algorithm is used at the equalizer output and the channel decoder output. The proposed DEP-DFE offers a new approach to alleviate error propagation. Additionally, its computational complexity is nearly half of the EP-based minimum mean square error (MMSE)-based linear equalizer (EP-MMSE-LE) proposed by Santos et al. The bit error ratio performance of the proposed equalizer is verified through simulation in the well-known severely frequency selective Proakis-C channel for different scenarios. Simulation results demonstrate that the proposed DEP-DFE can achieve similar or better performance than the EP-MMSE-LE. Moreover, it has significant improvement over the double expectation propagation-based MMSE-LE (DEP-MMSE-LE).