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地基雷达探测临近空间高超声速目标优化部署方法
引用本文:肖松,谭贤四,王红,汪毅.地基雷达探测临近空间高超声速目标优化部署方法[J].国防科技大学学报,2015,37(2):121-127.
作者姓名:肖松  谭贤四  王红  汪毅
作者单位:空军预警学院,湖北 武汉,430019
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)(61271451)
摘    要:为提高地基雷达对临近空间高超声速目标的探测能力,探讨了一种实用高效的地基雷达优化部署方法,对地基雷达探测临近空间高超声速目标的难点和数学模型进行了分析,提出了地基雷达探测临近空间高超声速目标的部署原则和量化指标,建立了地基雷达优化部署模型,并进行了信息素引导性控制的蚁群算法设计。仿真结果表明,该方法可实现多种程式地基雷达的优化部署,提高了地基雷达优化部署效率和可操作性,为地基雷达探测临近空间高超声速目标的优化部署提供了一种新思路。

关 键 词:优化部署  地基雷达  临近空间  高超声速  蚁群算法  探测
收稿时间:2014/8/11 0:00:00

Deployment optimization method for ground-based radar to detect near space hypersonic target
XIAO Song,TAN Xiansi,WANG Hong and WANG Yi.Deployment optimization method for ground-based radar to detect near space hypersonic target[J].Journal of National University of Defense Technology,2015,37(2):121-127.
Authors:XIAO Song  TAN Xiansi  WANG Hong and WANG Yi
Institution:Air Force Early Warning Academy, Wuhan 430019, China,Air Force Early Warning Academy, Wuhan 430019, China,Air Force Early Warning Academy, Wuhan 430019, China and Air Force Early Warning Academy, Wuhan 430019, China
Abstract:In order to improve detection ability of ground-based radar to near space hypersonic target and explore a practical and efficient deployment optimization method, the difficulties of the ground-based radar to detect near space hypersonic target and mathematical model are analyzed, the principle of ground-based radar to detect near space hypersonic target and quantitative indicators were put forward, ground-based radar deployment optimization model was established, and the pheromone introductory controlling ant colony algorithm was designed. The simulation results show that this method can achieve a variety of programs of ground-based radar deployment optimization, improve the efficiency and operability of the ground-based radar deployment optimization, it provides a new way of thinking for ground-based radar optimization deployment to detect near space hypersonic target.
Keywords:deployment optimization  ground-based radar  near space  hypersonic  ant colony algorithm  detection
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