基于改进遗传算法的雷达网优化部署方法研究  

Study on Radar-Net Deployment Optimization Method Based on Improved Genetic Algorithm

作　　者：甘刚[1] 李桂祥[1] 左治方[1] 朱新权[1] 

机构地区：[1]空军预警学院,湖北武汉430019

出　　处：《现代防御技术》2015年第4期36-42,共7页Modern Defence Technology

摘　　要：雷达网的综合效能直接影响着作战能力,研究雷达网的优化部署旨在提高其综合效能。针对雷达网优化部署涉及的影响因素众多、难以综合考虑的问题,从雷达网的覆盖率、重叠度、"四抗"能力以及费效比方面对雷达网优化部署进行约束,通过定量分析研究,并且利用改进的遗传算法加以实现,给出一种雷达网优化部署的可行办法,仿真结果表明了优化部署的可行性。The comprehensive efficiency of radar network directly affects its operational capability, and to study radar-net deployment optimization aims to increase the comprehensive efficiency. For the problem of radar-net deployment optimization involves many influencing factors and complexity, radar-net deployment optimization is constrained from coverage rate, degree of overlapping, ＂Four Anti-threaten a- bility＂ and cost-benefit ratio and the optimization is achieved through the method of quantitative analysis and improved genetic algorithm. A feasible measure of the radar-net deployment optimization is proposed, and simulation and test results illustrate its feasibility.

关 键 词：雷达网 综合效能 影响因素 优化部署 约束 遗传算法 

分 类 号：TN95[电子电信—信号与信息处理] TP301.6[电子电信—信息与通信工程]