A Blind Separation of Variable Speed Frequency Hopping Signals based on Independent Component Analysis

被引:0
作者
Wang Miao [1 ]
Cai Xiao-xia [1 ]
Zhu Ke-fan [1 ]
机构
[1] Natl Univ Def Technol, Elect Countermeasure Inst, Hefei 230037, Anhui, Peoples R China
来源
PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019) | 2019年
关键词
variable speed frequency hopping signal; blind separation; independent component analysis;
D O I
10.1109/itnec.2019.8729324
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the face of the increasingly complex electromagnetic environment, the feature recognition algorithm for the blind source separation of multi-frequency hopping signals is large in computation and the separation result is inaccurate. It is proposed to use the independent component analysis method to deal with the blind separation problem of variable speed frequency hopping signals. The simulation results show that comparing with other methods,this algorithm can effectively separate multiple variable speed frequency hopping signals without any prior information. At the same time, the time domain waveform of the variable speed frequency hopping signal and the corresponding frequency hopping pattern can be accurately recovered, which provides a new solution for the blind separation problem of the variable speed frequency hopping signal.
引用
收藏
页码:144 / 148
页数:5
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