典型文献
Intelligent optimization methods of phase-modulation waveform
文献摘要：
With the continuous improvement of radar intelli-gence, it is difficult for traditional countermeasures to achieve ideal results. In order to deal with complex, changeable, and unknown threat signals in the complex electromagnetic environ-ment, a waveform intelligent optimization model based on intelli-gent optimization algorithm is proposed. By virtue of the univer-sality and fast running speed of the intelligent optimization algo-rithm, the model can optimize the parameters used to synthe-size the countermeasure waveform according to different exter-nal signals, so as to improve the countermeasure performance. Genetic algorithm (GA) and particle swarm optimization (PSO) are used to simulate the intelligent optimization of interrupted-sampling and phase-modulation repeater waveform. The experi-mental results under different radar signal conditions show that the scheme is feasible. The performance comparison between the algorithms and some problems in the experimental results also provide a certain reference for the follow-up work.
文献关键词：
中图分类号：
作者姓名：
SUN Jianwei;WANG Chao;SHI Qingzhan;REN Wenbo;YAO Zekun;YUAN Naichang
作者机构：
College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China;State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System,National University of Defense Technology,Changsha 410073,China
文献出处：
引用格式：
[1]SUN Jianwei;WANG Chao;SHI Qingzhan;REN Wenbo;YAO Zekun;YUAN Naichang-.Intelligent optimization methods of phase-modulation waveform)[J].系统工程与电子技术（英文版）,2022(04):916-923
A类：
univer,repeater
B类：
Intelligent,optimization,methods,phase,modulation,waveform,With,continuous,improvement,radar,gence,difficult,traditional,countermeasures,achieve,ideal,results,order,complex,changeable,unknown,threat,signals,electromagnetic,environ,intelligent,model,proposed,By,virtue,sality,fast,running,speed,can,optimize,parameters,used,synthe,size,according,different,exter,performance,Genetic,GA,particle,swarm,PSO,are,simulate,interrupted,sampling,under,conditions,show,that,scheme,feasible,comparison,between,algorithms,some,problems,experimental,also,provide,certain,reference,follow,work
AB值：
0.509685
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
