【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。更多还原

【Abstract】 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. 7 dB.更多还原