A Blind Source Extraction Method for Chaotic Signals Using Unscented Kalman Filters

被引：0
|
作者：
Chen, Yue [1 ]
Wang, Mengjiao [1 ]
Feng, Jiuchao [1 ]
机构：
[1] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou, Guangdong, Peoples R China
来源：
2014 IEEE 7TH INTERNATIONAL CONFERENCE ON ADVANCED INFOCOMM TECHNOLOGY (ICAIT) | 2014年
关键词：
blind extraction; unscented Kalman filter; chaotic signal; SEPARATION;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The applications of chaos in wireless communication systems require tackling the blind source extraction problem. A class of existing blind source extraction methods in the framework of kalman filtering suffer great performance degeneration when applying to noisy chaotic mixtures. To address this issue, a new method is proposed. This method incorporates two unscented Kalman filters alternately estimate the extracting vector and the source signal. Simulation results indicate that the proposed algorithm outperforms existing unscented Kalman approach.
引用
收藏
页码：104 / 112
页数：9
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