上海交通大学学报

上海交通大学学报（自然版） ›› 2011, Vol. 45 ›› Issue (07): 954-960.

• 自动化技术、计算机技术 • 上一篇    下一篇

一种变步长前瞻性电子侦察卫星引导调度方法

王慧林，冉承新，黄维，马满好   

  1. （国防科技大学 C4ISR技术国防科技重点实验室， 长沙 410073）
  • 收稿日期:2010-07-16 出版日期:2011-07-29 发布日期:2011-07-29
  • 基金资助:

    国家重点基础研究发展规划（973）项目（97361361）

A Time Step Alterable and Predicative Electronic Reconnaissance Satellite Guiding Scheduling Technique

 WANG  Hui-Lin, RAN  Cheng-Xin, HUANG  Wei, MA  Man-Hao   

  1. (National Key Lab of Information Systems Engineering, National University of Defense Technology, Changsha 410073, China)
  • Received:2010-07-16 Online:2011-07-29 Published:2011-07-29

摘要：  针对存在区域先验信息的电子侦察卫星引导调度问题，提出了一种变步长前瞻性引导调度机制.以卫星实时侦察信息引导后续有限步长内的卫星侦察策略，随着侦察信息的不断下传形成滚动推进的引导调度窗口；提出了一种基于贝叶斯规则的更新方法对区域状态进行预测，建立了引导调度窗口内有限前瞻步长的通用多目标规划模型，并针对模型特点设计了一种改进型多目标蚁群算法进行求解.仿真对比实验表明，该方法能够有效解决面向区域搜索的电子侦察卫星引导调度问题.

关键词:  , 电子侦察卫星； 变步长； 前瞻性规划； 引导调度； 蚁群算法

Abstract: To solve the problem of electronic reconnaissance satellites(ERS) guiding scheduling with area prior information, a time step alterable and predicative electronic reconnaissance satellites guiding scheduling mechanism was put forward, in which the realtime satellites reconnoitering information is used to guide the following detecting actions in the limited and alterable future time step. With the continuously data downloading, the rolling impellent guiding scheduling windows are driven to form. An updating method based on Bayesian rule for forecasting the area state was presented, and the universal multiobjective scheduling model in the rolling alterable time step scheduling windows was brought forward. According to the characteristics of the model, an improved multiobjective ant colony algorithm(IMOACA) was designed to compute the pareto optimal solutions. The comparative experiments prove that the proposed mechanism, model and algorithm can effectively deal with the ERS guiding scheduling problem and the performance is good.

Key words:  electronic reconnaissance satellites(ERS), alterable time step, predicative scheduling, guiding scheduling, ant colony algorithm

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