Journal of Systems Engineering and Electronics ›› 2011, Vol. 33 ›› Issue (6): 1299-1304.doi: 10.3969/j.issn.1001-506X.2011.06.20

• 系统工程 • 上一篇    下一篇

一种解决多星遥感地面接收资源冲突及优化的方法

王无敌1,2,3,4, 周志鑫4, 李湘4, 詹明4, 王宏琦1,2,3   

  1. 1. 中国科学院电子学研究所, 北京 100190;
    2. 中国科学院空间信息处理与应用系统技术重点实验室, 北京 100190;
    3. 中国科学院研究生院, 北京 100190; 4. 北京遥感信息研究所, 北京 100192
  • 出版日期:2011-06-20 发布日期:2010-01-03

Optimization method to resolve the confliction of ground station receiving resources for multi-satellites data

WANG Wu-di1,2,3,4, ZHOU Zhi-xin4, LI Xiang4, ZHAN Ming4, WANG Hong-qi1,2,3   

  1. 1. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
    2. Key Laboratory of Technology in Geospatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China; 3. Graduate University of the Chinese Academy of Sciences, Beijing 100190, China; 4. Beijing Remote Sensing Information Institute, Beijing 100192, China
  • Online:2011-06-20 Published:2010-01-03

摘要:

针对多星遥感任务规划中的地面接收资源冲突问题,提出了一种利用互斥关系矩阵解决多星遥感中地面接收资源冲突及优化分配的技术,详细解释了互斥矩阵技术的实现方法;应用该技术能够给出多种无冲突的优化分配预案。同时以遥感任务完成量为基准,根据卫星星上数据存储能力和星地数据传输能力,采用优化决策技术建立了一种地面接收资源分配的综合评价模型,用来对多个地面站分配的无冲突预案进行评估,解决多星遥感地面接收资源分配的最优化问题。

Abstract:

This article puts forward an optimization method based on mutex-matrix to resolve the confliction of the ground station resources in receiving multi-satellites remote sensing data, and describes its achievement in detail. This method can provide manifold preferable no-confliction multi-missions solutions of the ground station resources arrangement. Moreover, this article establishes an integrated evaluating model on the arrangement of the ground station resources, which is based on the number of the achieved remote sensing tasks and considers satellite’s data storage capacity and data transferring capacity. This model is used to evaluate the no-confliction multi-missions solutions on the arrangement of the ground station resources. The best evaluation result can be selected as the optimization solution of the data receiving mission on the assumed condition.