基于遗传算法的相位调制波形智能优化  

Intelligent optimization of phase-modulation waveform based on genetic algorithm

作　　者：孙剑炜 王超[1,2] 施庆展 任文博 尧泽昆 袁乃昌[1,2] SUN Jianwei;WANG Chao;SHI Qingzhan;REN Wenbo;YAO Zekun;YUAN Naichang(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)

机构地区：[1]国防科技大学电子科学学院,湖南长沙410073 [2]国防科技大学电子信息系统复杂电磁环境效应国家重点实验室,湖南长沙410073

出　　处：《系统工程与电子技术》2022年第3期722-729,共8页Systems Engineering and Electronics

摘　　要：随着智能化程度的提高,雷达发射信号更加复杂多变。为有效应对复杂的、未知的威胁信号,需要提升对抗系统智能对抗的能力,提出一种基于智能优化算法的对抗波形智能优化方法,并通过仿真实验对基于遗传算法的相位调制波形智能优化进行研究。不同优化参数、不同实施条件、不同雷达信号及信号变化条件下的实验结果表明,遗传算法能够以较少的迭代次数和较短的运行时间对不同条件下的波形进行优化,实现对抗性能的提升,初步证明了该种方法的可行性。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.

关 键 词：波形优化 智能优化 相位调制 遗传算法 

分 类 号：TN97[电子电信—信号与信息处理]