对旁瓣相消的分布式干扰优化布阵方法

Distributed jamming optimal array method for sidelobe cancellation

旁瓣相消具有抗干扰的能力,因此被广泛应用于雷达抗干扰领域。在有限分布式干扰布阵条件下,针对旁瓣相消系统产生的干扰效果不佳问题,提出一种针对旁瓣相消的由遗传算法(genetic algorithm,GA)和粒子群优化(particle swarm optimization,PSO)算法结合的方法,针对旁瓣相消特性对分布式干扰的阵位进行规划布阵。在有限的干扰资源条件下,通过穷举法、标准PSO算法和遗传粒子群优化(genetic-particle swarm optimization,GA-PSO)算法进行对比,研究分布式干扰布阵优化结果。仿真分析3种方法在达到一定条件下的干扰效果和迭代次数,GA-PSO可以牺牲较少的时间复杂度达到较好的干扰效果。

Sidelobe cancellation(SLC)has the ability of anti-jamming,so it is widely used in the field of radar anti-jamming.Under the condition of limited distributed jamming array,aiming at the poor jamming effect caused by the SLC system,an algorithm based on the combination of genetic algorithm(GA)and particle swarm optimization(PSO)for SLC is proposed,and the array of distributed jamming according to the characteristics of SLC is planned and arranged.Under the condition of limited jamming resources,the optimization results of distributed jamming array are compared and studied by exhaustive method,standard PSO algorithm and GA-PSO.The jamming effect and iteration times of the three methods are simulated and analyzed under certain conditions.GA-PSO algorithm can sacrifice less time complexity to achieve better jamming effect.