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
收藏
页码：730 / 734
页数：5
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