Multichannel blind identification: From subspace to maximum likelihood methods

被引：402

作者：

Tong, L ^{[1
]}

Perreau, S

机构：

[1] Cornell Univ, Sch Elect Engn, Ithaca, NY 14853 USA

[2] Inst Telecommun Res, The Levels, SA 5095, Australia

来源：

PROCEEDINGS OF THE IEEE | 1998年 / 86卷 / 10期

基金：

美国国家科学基金会;

关键词：

blind equalization; parameter estimation; system identification;

D O I：

10.1109/5.720247

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：

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 terministic signal models, we outline basic ideas behind several new developments, the assumptions and identifiability conditions required by these approaches, and the algorithm characteristics and their performance. This review serves as an introductory reference for this currently active research area.

引用

页码：1951 / 1968

页数：18

共 139 条

[1] Prediction error method for second-order blind identification [J].