A Reweighted Least Squares Approach to QAM Detector for Blind Equalization

被引：2
|
作者：
Konishi, Katsumi [1 ]
Furukawa, Toshihiro [2 ]
机构：
[1] Kogakuin Univ, Dept Comp Sci, Tokyo, Japan
[2] Tokyo Univ Sci, TheDepartment ofManagement Engn, Tokyo 162, Japan
来源：
IEEE SIGNAL PROCESSING LETTERS | 2011年 / 18卷 / 04期
关键词：
Blind equalization; iteratively reweighted least squares; maximum likelihood detection; SEMIDEFINITE RELAXATION;
D O I：
10.1109/LSP.2011.2118202
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：
This letter proposes a reweighted least squares algorithm for quadrature amplitude modulation (QAM) detector in blind equalization. Because the QAM detection problem is a non-convex combinatorial optimization problem, it is relaxed into a problem of minimizing the sum of logarithmic functions in order to overcome the combinatorial complexity. To find a local optimal solution of the problem, an iterative reweighted least squares based algorithm is proposed. Simulation results show that the proposed algorithm improves the accuracy of QAM detection in blind equalization.
引用
收藏
页码：259 / 262
页数：4
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