New criteria for blind source separation using second-order cyclic statistics

被引：0
|
作者：
Liang, YC
Leyman, AR
Chin, F
机构：
[1] Ctr Wireless Commun, Singapore 117674, Singapore
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
来源：
CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2000年 / 19卷 / 01期
关键词：
blind source separation; adaptive algorithm; second-order cyclic statistics; convergence analysis;
D O I：
10.1007/BF01229991
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 paper addresses the problem of blind separation of cyclostationary sources. By using the cyclostationarity property of the source signals, new criteria based on second-order cyclic statistics (SOCS) are established, from which two algorithms for blind source separation are proposed. Compared with the existing higher-order statistics-based approaches, our new approach requires few data samples and does not impose any restrictions on the probability distributions of the source signals. Simulation results are given to demonstrate the effectiveness of this new approach.
引用
收藏
页码：43 / 58
页数：16
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