On MLSE algorithms for unknownfast time-varying channels

被引：7

作者：

Chen, H ^{[1
]}

Perry, R ^{[1
]}

Buckley, K ^{[1
]}

机构：

[1] Villanova Univ, Dept Elect & Comp Engn, Villanova, PA 19085 USA

来源：

IEEE TRANSACTIONS ON COMMUNICATIONS | 2003年 / 51卷 / 05期

关键词：

expectation-maximization (EM) algorithms; intersymbol interference (ISI); maximum-likelihood sequence estimation; (MLSE); per-survivor processing (PSP);

D O I：

10.1109/TCOMM.2003.811381

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We consider maximum-likelihood sequence estimation (MLSE) algorithms for unknown, time-varying intersymbol interference communication channels. We assume a statistical channel model, and marginalize over model parameters to derive expectation-maximization (EM) algorithms for both time-independent Gaussian and Gauss-Markov models, and we contrast these with direct MLSE and computationally efficient per-survivor processing implementations. We identify a general concern associated with the convergence of EM-based discrete parameter (e.g., symbol) estimators.

引用

页码：730 / 734

页数：5

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