{"title":"Two-step lattice super-exponential algorithm for blind equalization of multi-input multi-output channels","authors":"Chong-Yung Chi, Faa-Yeu Wang, Meng-Chian Chiang","doi":"10.1109/VETECS.2000.851536","DOIUrl":null,"url":null,"abstract":"Feng and Chi (1998) reported a two-step lattice super-exponential algorithm (2S-LSEA) for blind equalization of single-input single-output (SISO) channels that is superior to Shalvi and Weinstein's (1993) FIR filter based super-exponential algorithm (SEA) in faster convergence speed, lower computational complexity, and more reliable performance to a variety of channels, besides modularity and low sensitivity to parameter quantization effects of lattice structure. In this paper, a 2S-LSEA for multi-input multi-output (MIMO) channels is proposed that is also superior to Yeung and Yau's (1998) SEA for MIMO channels in the same preceding advantages of the 2S-LSEA for SISO channels. Some simulation results are presented to support the efficacy of the proposed 2S-LSEA for MIMO channels.","PeriodicalId":318880,"journal":{"name":"VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026)","volume":"2007 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VETECS.2000.851536","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Feng and Chi (1998) reported a two-step lattice super-exponential algorithm (2S-LSEA) for blind equalization of single-input single-output (SISO) channels that is superior to Shalvi and Weinstein's (1993) FIR filter based super-exponential algorithm (SEA) in faster convergence speed, lower computational complexity, and more reliable performance to a variety of channels, besides modularity and low sensitivity to parameter quantization effects of lattice structure. In this paper, a 2S-LSEA for multi-input multi-output (MIMO) channels is proposed that is also superior to Yeung and Yau's (1998) SEA for MIMO channels in the same preceding advantages of the 2S-LSEA for SISO channels. Some simulation results are presented to support the efficacy of the proposed 2S-LSEA for MIMO channels.