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微分进化算法在雷达网抗干扰优化中的应用研究
引用本文:徐庆民,姚佩阳,赵晓辉,李文.微分进化算法在雷达网抗干扰优化中的应用研究[J].电光与控制,2009,16(5).
作者姓名:徐庆民  姚佩阳  赵晓辉  李文
作者单位:空军工程大学电讯工程学院,西安,710077
摘    要:建立了区域雷达网优化布站数学模型,分析了雷达网在干扰前后威力区的变化,采用新的雷达网威力区计算方法,新算法将可布站区域划分为若干小格,以雷达探测区覆盖层数标记每一小格,通过统计不同覆盖层数的小格数,计算雷达网威力区面积.给出了微分进化算法在该优化问题中的求解过程,并将迭代过程与遗传算法进行比较,仿真结果表明微分进化算法在收敛速度上具有明显优势.最后,针对雷达网受干扰后威力区收缩,提出了重新部署网内雷达或增加网内雷达数量两种解决方案,仿真结果证明所提方案是有效可行的.

关 键 词:雷达网  抗干扰  优化  微分进化算法

Application of Differential Evolution Algorithm in Radar-Net Anti-Jamming Optimization
XU Qingmin,YAO Peiyang,ZHAO Xiaohui,LI Wen.Application of Differential Evolution Algorithm in Radar-Net Anti-Jamming Optimization[J].Electronics Optics & Control,2009,16(5).
Authors:XU Qingmin  YAO Peiyang  ZHAO Xiaohui  LI Wen
Affiliation:Telecommunication Engineering Institute;Air Force Engineering University;Xi'an 710077;China
Abstract:A mathematical model for radar-net optimal disposition was established,and the change of detection scope of the radar-net with/without jamming was analyzed.A new method was adopted to calculate the detection scope,which divided the capable area of location into grids,and signed each grid with the layers of radar's detection scope.Then,the detection area of the radar-net was obtained by counting the number of different covered grids.The application of Differential Evolution(DE) in this optimization issue was...
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