Adaptive Blind Equalization for MIMO Systems under α-Stable Noise Environment

被引：15
|
作者：
Li Sen [1 ,2 ]
Qiu Tianshuang [1 ]
Zha Daifeng
机构：
[1] Dalian Univ Technol, Coll Elect & Informat Engn, Dalian, Peoples R China
[2] Dalian Maritime Univ, Informat Sci Technol Coll, Dalian, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2009年 / 13卷 / 08期
基金：
美国国家科学基金会;
关键词：
alpha-stable distribution; constant modulus algorithm; fractional lower-order statistics; MIMO equalization; SEPARATION;
D O I：
10.1109/LCOMM.2009.081982
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The presence of non-Gaussian impulsive noise in wireless system can degrade the performance of existing equalizers and signal detectors. In this paper, the problem of blind source separation and equalization for MINI systems in heavy-tailed impulsive noise is studied. A generalized multi-user constant modulus cost function by employing the fractional lower-order statistic of the equalizer input signal is proposed. The associated adaptive blind equalization algorithm based on a stochastic gradient descent method is defined as fractional lower-order multi-user constant modulus algorithm (FLOS_MU_CMA). Computer simulations are presented to illustrate the performance of the new algorithm
引用
收藏
页码：609 / 611
页数：3
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