摘要
传统的遗传算法设计参差MTI滤波器的方法存在早熟、多样性下降等问题。针对上述问题,提出一种新的搜索最优参差码的方法,该方法是以免疫克隆选择算法为基础,经过克隆、重组、变异及选择操作,将个体竞争与种间协作相结合,并根据局部特征信息以一定程度干扰全局并行搜索进程。仿真实验结果表明,该方法可有效地避免种群退化的问题,且能够快速收敛到全局最优点,设计滤波器的第一零点深度提高了1.7dB以上。
Stagger MTI filter design based on traditional genetic algorithm(GA)has some problems of prematurity,diversity decline,etc.A novel method of searching the optimal stagger code is proposed based on immune clonal selection algorithm(ICA).Through clone,recombination,mutation and selection to achieve combination of individual competition and inter-specific cooperation;and based on local feature information,to intervene parallel search process in global optimization way.Simulation and experimental results show that this method can effectively avoid group degeneration and quickly converge to the optimum point of the global.The first notch(null-depth)of the filter is increased by more than 1.7dB.
作者
毛家琪
罗丰
Mao Jiaqi;Luo Feng(Xidian University,Xi'an 710071)
出处
《火控雷达技术》
2018年第2期40-44,共5页
Fire Control Radar Technology
基金
国家重大科学仪器设备开发专项(2013YQ20060705)
关键词
参差MTI
最优参差码
免疫克隆选择算法
stagger MTI
optimal stagger code
immune clonal selection algorithm
