Multichannel blind identification and estimation: From subspace to maximum likelihood methods

被引：0
|
作者：
Tong, L [1 ]
机构：
[1] Univ Connecticut, Dept Elect & Syst Engn, Storrs, CT 06269 USA
来源：
(SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3 | 1998年
关键词：
system identification; parameter estimation; moment methods; likelihood methods; blind identification;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A review of recent blind channel estimation algorithms is presented. From the (second-order) moment-based methods to the maximum likelihood approaches, under both statistical and deterministic signal models, we outline basic ideas behind several new developments, the assumptions and identifiability conditions required by these approaches, and the algorithm characteristics and performances.
引用
收藏
页码：17 / 28
页数：12
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