Source Correlation Compensation for Blind Channel Identification Based on Second-Order Statistics

被引：12

作者：

Hua, Y. ^{[1
]}

Yang, H. ^{[1
]}

Qiu, W. ^{[1
]}

机构：

[1] Univ Melbourne, Dept Elect & Elect Engn, Sch Elect Engn & Comp Sci, Parkville, Vic 3052, Australia

来源：

IEEE SIGNAL PROCESSING LETTERS | 1994年 / 1卷 / 08期

关键词：

D O I：

10.1109/97.311813

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 present a source correlation compensation approach for the blind channel identification method recently proposed by Tong et al. [1]. Instead of assuming independent and identically distributed (i.i.d.) source symbols as assumed by Tong et al., we consider the case where each source symbol is weakly correlated to its nearest neighbors with an unknown correlation coefficient. We show how Tong's method can be simply modified so that the unknown correlation coefficient can be estimated and then compensated, which leads to an improved performance.

引用

页码：119 / 120

页数：2

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