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作 者:戴瑜[1] 汪先超[1] 汤子跃[1] 张袁鹏[1] DAI Yu;WANG Xian-chao;TANG Zi-yue;ZHANG Yuan-peng(Air Force Early Warning Academy,Wuhan 430019,China)
机构地区:[1]空军预警学院,武汉430019
出 处:《火力与指挥控制》2018年第4期62-65,70,共5页Fire Control & Command Control
摘 要:针对重点任务航线保障的预警机航线规划问题,根据重点任务航线的长度以及单架预警机的探测能力,提出了一种分段探测的预警机航线规划方法。该方法按照重点任务航线外接圆和预警机稳定覆盖区域的大小,本着节约预警机资源的原则对重点任务航线进行分段;每段航线分别利用一架预警机进行保障,在最大程度减少重点任务进入预警机的空间盲区和多普勒速度盲区的前提下,建立预警机航线的最优化模型;利用粒子群优化算法求解该模型,得到最优的针对重点任务保障的预警机航线规划。仿真实验结果证明了文中提出的针对重点任务保障的预警机航线规划方法的有效性。Aiming at the early-warning aircraft(EWA)route planning problem for plane support,the EWA route planning method of segmentation detection is developed based on the length of plane route and the detection capability of single EWA.The plane route is firstly divided into several parts according to the circumscribed circle of plane route and the stable covered region of EWA,based on least EWA resources.Secondly,every part of plane route is supported using a EWA,and the optimization model of EWA route is built under the restriction that the plane scarcely enters the space blind zone and Doppler speed blind zone in maximum extent.At last,the particle swarm optimization algorithm is used to solve the model,and the optimal EWA route planning is obtained for plane support.The simulation experiment results demonstrate the validity of the developed EWA route planning method for plane support in the paper.
关 键 词:预警机 重点任务保障 航线规划 多普勒盲区 粒子群优化算法
分 类 号:TN959.73[电子电信—信号与信息处理] TJ85[电子电信—信息与通信工程]
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