Intelligent optimization of phase-modulation waveform based on genetic algorithm

被引：0
|
作者：
Sun J. [1 ,2 ]
Wang C. [1 ,2 ]
Shi Q. [1 ,2 ]
Ren W. [1 ,2 ]
Yao Z. [1 ,2 ]
Yuan N. [1 ,2 ]
机构：
[1] College of Electronic Science and Technology, National University of Defense Technology, Changsha
[2] State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2022年 / 44卷 / 03期
关键词：
Genetic algorithm; Intelligent optimization; Phase-modulation; Waveform optimization;
D O I：
10.12305/j.issn.1001-506X.2022.03.02
中图分类号：
学科分类号：
摘要：
With the improvement of intelligence, the transmitting signal of radar becomes more complex and changeable. In order to effectively deal with complex and unknown threat signals, it is necessary to enhance the intelligent countermeasure capability of the countermeasure system. An intelligent optimization method of countermeasure waveform based on intelligent optimization algorithm is proposed. And the intelligent optimization of phase modulation waveform based on genetic algorithm is studied through simulation experiments. The experimental results under different optimization parameters, different implementation conditions, different radar signals and signal changes show that the genetic algorithm can optimize the waveform under different conditions with less iteration times and short running time, and realize the improvement of the countermeasures performance. The feasibility of this method is preliminarily proved. © 2022, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：722 / 729
页数：7
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