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一种基于GA的无源交叉定位数据关联算法
引用本文:陈红,蔡晓霞,谭坤.一种基于GA的无源交叉定位数据关联算法[J].现代雷达,2011(8):39-42.
作者姓名:陈红  蔡晓霞  谭坤
作者单位:合肥电子工程学院;广州75731部队;
基金项目:国家自然科学基金资助课题(60972161)
摘    要:针对多站无源测向交叉定位的多目标辐射源数据关联问题,提出了一种基于遗传算法的无源多站多目标交叉定位数据关联算法。利用遗传算法在解决组合优化中NP问题的优势,将遗传算法引入到数据关联算法的求解过程中,对基于残差的数据关联算法进行了优化改进,给出了求解步骤。仿真结果表明,在考虑虚警和漏检的情况下,由于遗传算法充分利用了全局信息,所以基于遗传算法的数据关联算法能以较快的速度实现收敛,并且正确关联率明显提高,从而能够更有效地分辨真实目标和虚假目标。

关 键 词:无源测向  交叉定位  遗传算法  数据关联

A Data Association Algorithm for Passive Cross Location Based on GA
CHEN Hong,CAI Xiao-xia,TAN Kun.A Data Association Algorithm for Passive Cross Location Based on GA[J].Modern Radar,2011(8):39-42.
Authors:CHEN Hong  CAI Xiao-xia  TAN Kun
Affiliation:CHEN Hong1,CAI Xiao-xia1,TAN Kun2 (1.Hefei Electronic Engineering Institute,Hefei 230037,China)(2.Guangzhou 75731 Army,Huadu 510897,China)
Abstract:Aimed at the data association problem of multi-target in multi-DF stations passive crossing location,a data association algorithm for passive multi-station multi-target crossing location based on GA is presented.GA is used into the solution process of data association algorithm because of its advantage solving NP problem,and the data association algorithm based on least distance is optimized,solution steps are given.The results of the simulate experiment show that the data association algorithm based on GA ...
Keywords:passive direction finding  cross location  genetic algorithm  data association  
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