A recursive data least square algorithm and its channel equalization application

被引：1

作者：

Lim, Jun-Seok

Kim, Jea-Soo

Sung, Koeng-Mo

机构：

[1] Sejong Univ, Dept Elect Engn, Seoul 143747, South Korea

[2] Korea Maritime Univ, Dept Ocean Engn, Pusan 143747, South Korea

[3] Seoul Natl Univ, Seoul, South Korea

来源：

IEICE TRANSACTIONS ON COMMUNICATIONS | 2007年 / E90B卷 / 08期

关键词：

data least squares method; generalized eigenvalue problem; equalization;

D O I：

10.1093/ietcom/e90-b.8.2143

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：

Using the recursive generalized eigendecomposition method, we develop a recursive form solution to the data least squares (DLS) problem in which the error is assumed to lie in the data matrix only. We apply it to a linear channel equalizer. Simulations shows that the DLS-based equalizer outperforms the ordinary least squares-based one in a channel equalization problem.

引用

页码：2143 / 2146

页数：4

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