电光与控制, 2014, 21 (9): 29, 网络出版: 2014-09-15
威胁联网下的飞行器航迹规划研究
Path Planning of Aircrafts Under Threat Netting
航迹规划 威胁联网模型 微分进化算法 代价函数 path planning threat netting Differential Evolution Algorithm(DEA) cost function
摘要
针对威胁建模中忽略威胁之间信息交换的问题,在目标指示概率模型的基础上,建立了基于探测概率的威胁联网模型,利用该模型改进了常用的航迹代价函数。介绍了微分进化算法(DEA),结合该算法和仿真,重点分析了威胁联网对威胁源的威胁强度和航路点威胁代价的影响,最后仿真分析了威胁联网模型对航迹规划的影响,检验了威胁联网模型的可行性和必要性。
Abstract
In usual threat modelingthe information exchange among the threats is often ignored.To solve the problema target instruction probability model was established.On which basisa threat netting model based on detection probability was built up.Common path cost function was improved by using the threat netting model.The Differential Evolution Algorithm (DEA) was introducedand analysis was made to the effect of threat netting on threat intensity and threat cost of waypoint by using the method.Simulation was made to the effect of the threat netting model on path planningwhich shows the necessity and feasibility of threat netting model.
张淘沙, 鲁艺, 吕跃, 张亮. 威胁联网下的飞行器航迹规划研究[J]. 电光与控制, 2014, 21(9): 29. ZHANG Taosha, LU Yi, Lv Yue, ZHANG Liang. Path Planning of Aircrafts Under Threat Netting[J]. Electronics Optics & Control, 2014, 21(9): 29.