A Modified Natural Gradient Algorithm for Blind Source Separation Using Generalized Constant Modulus

被引：0
|
作者：
Gu, Fanglin [1 ]
Zhang, Hang [1 ]
Zhang, Jiang [1 ]
Zhu, Desheng [1 ]
Luo, Pan [2 ]
机构：
[1] PLA Univ Sci & Technol, Coll Commun Engn, Nanjing 210007, Jiangsu, Peoples R China
[2] Naval Command Coll, Nanjing 210000, Peoples R China
来源：
2013 36TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP) | 2013年
关键词：
Blind source separation; natural gradient; generalized constant modulus; INDEPENDENT COMPONENT ANALYSIS; SIGNAL SEPARATION; STEP-SIZE; EQUALIZATION; FAMILY;
D O I：
暂无
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 proposes a modified natural gradient algorithm (M-NGA) for blind separation of communication signals. In the proposed algorithm, a new cost function is introduced by exploiting both the generalized constant modulus property and the statistical independent property of source signals. Then, the M-NGA is derived by maximizing the new cost function. Simulation results show that the M-NGA has faster convergence than the conventional NGA.
引用
收藏
页码：663 / 666
页数：4
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