Blind source separation of radar signals based on chaotic adaptive firework algorithm

被引：0
|
作者：
Luo W. [1 ]
Jin H. [1 ]
Li H. [1 ]
Zhou R. [1 ]
机构：
[1] Department of Intelligence, Air Force Early Warning Academy, Wuhan
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2020年 / 42卷 / 11期
关键词：
Blind source separation(BSS); Chaotic map; Fireworks algorithm; Independent component analysis(ICA);
D O I：
10.3969/j.issn.1001-506X.2020.11.11
中图分类号：
学科分类号：
摘要：
Aiming at the problem of slow speed on convergence and poor separation perfomance for the method of traditional independent component analysis (ICA). The strategy on chaotic maps strategy are combined with an adaptive explosion radius, and a kind of chaotic adaptive fireworks algorithm (CAFWA) based blind source separation (BSS) method is proposed, and applied into the sorting problem of radar emitter mixed signal. The chaotic maps strategy can distribute the initial value more evenly in the solution space, and the explosion radius can be changed adaptively according to the advantages and disadvantages of fitness, which ensures the precision of local search for the proposed algorithm and satisfies the diversity of universal search. The experimental results show that the proposed algorithm can sort observation signals well in both noise-free and noise conditions, and has faster constriction speed and better sorting function than the traditional algorithm. © 2020, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：2497 / 2505
页数：8
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