{"title":"A matched filter approximation for SC/MMSE iterative equalizers","authors":"H. Omori, T. Asai, T. Matsumoto","doi":"10.1109/VTC.2001.956535","DOIUrl":null,"url":null,"abstract":"This paper proposes a new iterative ISI equalization algorithm that offers low computational complexity: order L/sup 2/ with channel memory length L. The proposed algorithm is an extension of D. Reynolds and Xiaodong Wang's SC/MMSE (soft canceller followed by MMSE filter) equalizer (see Signal Processing, vol.81, no.5, p.989-95, 2001): approximations are used properly to reduce the computational complexity. It is shown that the approximations used in the proposed algorithm do not cause any serious performance degradation compared to the conventional trellis-based iterative equalization algorithms.","PeriodicalId":129008,"journal":{"name":"IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTC.2001.956535","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25
Abstract
This paper proposes a new iterative ISI equalization algorithm that offers low computational complexity: order L/sup 2/ with channel memory length L. The proposed algorithm is an extension of D. Reynolds and Xiaodong Wang's SC/MMSE (soft canceller followed by MMSE filter) equalizer (see Signal Processing, vol.81, no.5, p.989-95, 2001): approximations are used properly to reduce the computational complexity. It is shown that the approximations used in the proposed algorithm do not cause any serious performance degradation compared to the conventional trellis-based iterative equalization algorithms.