A Modified Integer Coded Genetic Algorithm Design of Time-Variant Staggered Sampling MTI Filter  

作　　者：TAOHaihong LIAOGuisheng WANGLing 

机构地区：[1]NationalKeyLaboratoryforRadarSignalProcessing,XidianUniversity,Xi＇an710071,China

出　　处：《Chinese Journal of Electronics》2005年第2期365-369,共5页电子学报（英文版）

摘　　要：The stagger time-variant sampling MTI filter design is an effective method to reject clutter and alleviate the blind speed problem. Selecting the suitable stagger-code to make the nadir shallow can avoid the loss of weak target in it. Also multi-model clutters can be suppressed by MTI filter, and blind-velocity can appear out of three times velocity of sound. So the low speed weak target can be detected out of strong multl-model clutters. The paper presents a modified Integer coded genetic algorithm (ICGA) including some strategies to select the optimal stagger-code. By comparing with other traditional algorithm, GA is a global stochastic searching method and can converge quickly. The simulation and performance analysis demonstrate the feasibility and validity of this algorithm.

关 键 词：参差编码 遗传算法 盲速 低速弱目标检测 

分 类 号：TN957.51[电子电信—信号与信息处理]