{"title":"Blind FIR equalisation for high-order QAM signalling","authors":"S. Chen, T. B. Cook, L. C. Anderson","doi":"10.1109/ICOSP.2002.1180030","DOIUrl":null,"url":null,"abstract":"We compare some blind finite-impulse-response (FIR) equalisation schemes for high-order quadrature amplitude modulation (QAM) signalling. The popular constant modulus algorithm (CMA) is used as a benchmark in an investigation of two blind FIR equalisers, namely, a bootstrap maximum a posteriori probability (MAP) equaliser and a recently introduced concurrent CMA and decision directed (DD) equaliser (CMA+DD). Both equalisers are known to outperform the CMA considerably at costs of a small increase in computational complexity. Our study indicates that the bootstrap MAP equaliser has a faster convergence rate than the concurrent CMA+DD equaliser.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Conference on Signal Processing, 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.2002.1180030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
We compare some blind finite-impulse-response (FIR) equalisation schemes for high-order quadrature amplitude modulation (QAM) signalling. The popular constant modulus algorithm (CMA) is used as a benchmark in an investigation of two blind FIR equalisers, namely, a bootstrap maximum a posteriori probability (MAP) equaliser and a recently introduced concurrent CMA and decision directed (DD) equaliser (CMA+DD). Both equalisers are known to outperform the CMA considerably at costs of a small increase in computational complexity. Our study indicates that the bootstrap MAP equaliser has a faster convergence rate than the concurrent CMA+DD equaliser.