Statistical performance analysis of the algebraic constant modulus algorithm

被引：0
|
作者：
van der Veen, AJ [1 ]
机构：
[1] Delft Univ Technol, Dept Elect Engn, DIMES, Delft, Netherlands
来源：
IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2002年 / 50卷 / 12期
关键词：
blind beamforming; constant modulus algorithms (CMAs); eigenvector perturbation; performance analysis;
D O I：
10.1109/TSP.2002.805502
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 presents a large sample analysis of the covariance of the beamformers computed by the analytical constant modulus algorithm (ACMA) method for blindly separating constant modulus sources. This can be used to predict the signal-to-interference plus noise ratio (SINR) performance. of these beamformers, as well as their deviation from the (nonblind) Wiener receivers to which they asymptotically converge. The analysis is based on viewing ACMA as a subspace fitting optimization, where the subspace is spanned by the eigenvectors of a fourth-order covariance matrix. The theoretical performance is illustrated by numerical simulations and shows a good match.
引用
收藏
页码：3083 / 3097
页数：15
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