微分进化算法在雷达网抗干扰优化中的应用研究  

Application of Differential Evolution Algorithm in Radar-Net Anti-Jamming Optimization

作　　者：徐庆民[1] 姚佩阳[1] 赵晓辉[1] 李文[1] 

机构地区：[1]空军工程大学电讯工程学院,西安710077

出　　处：《电光与控制》2009年第5期39-42,共4页Electronics Optics & Control

基　　金：军队装备基金(KGDDY05041)

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。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 given, and was compared with Genetic Algorithm （GA）. Simulation results showed that DE is better than GA in convergence speed. At last, considering that the detection scope gets shrinking under jamming, two schemes were proposed, i. e. , rearranging the radar net or adding radars to the net. Simulation results showed that the schemes are effective and feasible.

关 键 词：雷达网 抗干扰 优化 微分进化算法 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计] TP97[自动化与计算机技术]