Intelligent optimization methods of phase-modulation waveform  

作　　者：SUN Jianwei WANG Chao SHI Qingzhan REN Wenbo YAO Zekun YUAN Naichang 

机构地区：[1]College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China [2]State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System,National University of Defense Technology,Changsha 410073,China

出　　处：《Journal of Systems Engineering and Electronics》2022年第4期916-923,共8页系统工程与电子技术（英文版）

摘　　要：With the continuous improvement of radar intelligence, 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 environment, a waveform intelligent optimization model based on intelligent optimization algorithm is proposed. By virtue of the universality and fast running speed of the intelligent optimization algorithm, the model can optimize the parameters used to synthesize the countermeasure waveform according to different external signals, so as to improve the countermeasure performance.Genetic algorithm(GA) and particle swarm optimization(PSO)are used to simulate the intelligent optimization of interruptedsampling and phase-modulation repeater waveform. The experimental 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.

关 键 词：waveform optimization intelligent optimization PHASE-MODULATION genetic algorithm(GA) particle swarm optimization(PSO) 

分 类 号：TN957[电子电信—信号与信息处理] TP18[电子电信—信息与通信工程]