Single-Channel Source Separation of Multi-Component Radar Signal with the Same Generalized Period Using ICA

被引：11
|
作者：
Zhu, Hang [1 ,2 ]
Zhang, Shuning [1 ]
Zhao, Huichang [1 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Nanjing 210094, Jiangsu, Peoples R China
[2] Unit 73015 PLA, Huzhou 313005, Peoples R China
来源：
CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2016年 / 35卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Signal processing; Radar signal; Single-channel source separation; Generalized periodic signal; Independent component analysis; INDEPENDENT COMPONENT ANALYSIS;
D O I：
10.1007/s00034-015-0061-1
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：
A novel method of single-channel source separation based on independent component analysis (ICA) is presented in this study. The method utilizes the generalized period character of radar signals to structure a multi-dimensional matrix and then uses said matrix to accomplish ICA. Simulation results demonstrate the proposed method's effectiveness.
引用
收藏
页码：353 / 363
页数：11
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