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兵工学报 ›› 2011, Vol. 32 ›› Issue (11): 1365-1372.

• 论文 • 上一篇    下一篇

面向区域覆盖的电子侦察卫星规划方法研究

王慧林, 邱涤珊, 黄小军, 马满好, 祝江汉   

  1. (1.北京跟踪与通信技术研究所, 北京 100094; 2.国防科技大学 C4ISR技术国防科技重点实验室, 湖南 长沙 410073)
  • 收稿日期:2010-05-24 修回日期:2010-05-24 上线日期:2014-05-04
  • 通讯作者: 王慧林 E-mail:nudtrain@yeah.net
  • 作者简介:王慧林(1983—), 男, 博士研究生

Research on Schedule Technique for Area-detecting Electronic Reconnaissance Satellite

WANG Hui-lin, QIU Di-shan, HUANG Xiao-jun, MA Man-hao, ZHU Jiang-han   

  1. (1.Beijing Institute of Tracking and Telecommunication Technology, Beijing 100094, China;2.National Key Laboratoryof Information Systems Engineering, National University of Defense Technology, Changsha 410073, Hunan,China)
  • Received:2010-05-24 Revised:2010-05-24 Online:2014-05-04
  • Contact: WANG Hui-lin E-mail:nudtrain@yeah.net

摘要: 电子侦察卫星对区域的覆盖搜索在反恐及海上搜救等领域发挥着重要作用,面向区域覆盖的电子侦察卫星规划问题(ACOERSS)也因此成为卫星规划领域急需解决的重要问题之一。针对问题特点,构建了区域网格空间,提出了一种基于空域频域划分的候选侦察活动构造方法,并在此基础上建立了面向区域覆盖的多目标规划模型;提出了一种面向区域覆盖的多目标进化算法对模型进行求解,同时设计了一种基于时间可行性判定的初始可行解构造算法来产生高质量的初始解。仿真对比实验表明:模型及算法能够有效解决面向区域覆盖的电子侦察卫星规划问题并且性能良好。

关键词: 航空、航天系统工程, 电子侦察卫星, 区域目标, 网格空间, 协同侦察, 多目标进化算法

Abstract: Because of significantly important role that the electronic reconnaissance satellite (ERS) plays in the fields of antiterrorism and salvage, the problem of area covering-oriented electronic reconnaissance satellite scheduling (ACOERSS) becomes a key problem in ERS scheduling domain. Considered the specific constraints of ACOERSS, the grid space of the area target was established, and a candidate reconnaissance activity constructing method based on the partitions in space domain and frequency domain was proposed. Then, a multi-objective model for ACOERSS was brought forward. Based on the model, an ACOERSS multi-objective evolution algorithm (ACOERSS-MOEA) was put forward to obtain the optimal solutions. Meanwhile, an initial feasible solution construct algorithm based on the determining of time feasibility was designed to produce high quality initial solutions to prevent the algorithm from slow converging. The comparative experiments show that the proposed model and algorithm can effectively deal with the ACOERSS problem better.

Key words: aerospace system engineering, electronic reconnaissance satellite, area target, grid space, cooperative reconnaissance, multi-objective evolution algorithm

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