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基于小生境遗传算法的制导雷达误差估计
引用本文:付强,王刚,王明宇,王锦江,李松.基于小生境遗传算法的制导雷达误差估计[J].空军工程大学学报,2011(6):50-53.
作者姓名:付强  王刚  王明宇  王锦江  李松
作者单位:空军工程大学导弹学院,陕西三原713800
基金项目:国家自然科学基金资助项目(61102109)
摘    要:制导雷达误差估计是多雷达站之间信息资源共享的前提和基础。针对无基准数据条件下的误差估计难题,建立了制导雷达误差估计模型,采用小生境遗传算法,给出了误差评估模型的求解方法,并进行了实验验证。仿真实验表明:比较传统遗传算法,小生境遗传算法克服了早熟收敛和后期收敛速度慢的弱点,表明算法是可行的,对多雷达站实现网络化作战有重要的作用和价值。

关 键 词:制导雷达  误差估计  小生境  遗传算法

Research of Guidance Radar Error Estimation Based on the Niche Genetic Algorithm
FU Qiang,WANG Gang,WANG Ming-yu,WANG Jin-jiang,LI Song.Research of Guidance Radar Error Estimation Based on the Niche Genetic Algorithm[J].Journal of Air Force Engineering University(Natural Science Edition),2011(6):50-53.
Authors:FU Qiang  WANG Gang  WANG Ming-yu  WANG Jin-jiang  LI Song
Abstract:The error estimation of guidance radar is a foundation and prerequisite for information sharing among radar stations. Aimed at the error estimation of radar station without reference data, the niche genetic algorithm is adopted to solve the difficulties. Compared to the traditional genetic algorithm, the use of the niche genetic algorithm can overcome the shortcomings of premature convergence and slow convergence rate at ending. The simulation and the project practice show that the algorithm is reasonable and feasible. The guidance radar''s error margin estimation plays an important role in the coordination among radar stations.
Keywords:guidance radar  error margin  Niche  genetic algorithm
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