摘要
基于相关先验信息,对大型海洋移动目标进行卫星成像侦察以获取其实时动态信息是卫星成像侦察面临的新课题。利用目标先验信息动态构建其潜在区域,建立其运动预测模型;针对潜在区域构造卫星候选成像观测活动集合;在此集合及目标运动预测模型基础上建立卫星成像调度规划模型,设计遗传算法进行求解,得到近最优的海上大型目标成像侦察方案。最后通过实例验证了规划模型及算法对解决该问题的合理性和有效性。
Based on the prior information of large ocean motive objects,allocate imaging reconnaissance satellite to surveillance the objects,which is to get their real-time dynamic information,is a new problem in the domain of satellite imaging reconnaissance.Using the prior information of the object to dynamically construct its latency area and propose its motion forecasting model;Construct the dynamic observing activity set contraposing to the latency area;Bring forward imaging scheduling model on the basis of the set and the motion forecasting model,adopt Genetic algorithm to resolve it,obtain the optimal or near-optimal imaging reconnaissance plan.The result of practical example demonstrates the rationality and validity of the model and algorithm in resolving the satellites scheduling problem with prior information.
出处
《火力与指挥控制》
CSCD
北大核心
2011年第3期105-110,共6页
Fire Control & Command Control
关键词
卫星调度
先验信息
可变潜在区域
运动预测模型
动态观测活动集合
satellite scheduling
prior information
changeable latency area
motion forecasting model
dynamic observing activity set
