Volume 32 Issue 4
Jul.  2012
Turn off MathJax
Article Contents
TANG Yi, WU Meiping, LI Xian, FU Xiaofeng. Orbit Design of Space-based Visible Sensor Satellite for Monitoring the Objects in Geosynchronous Belt[J]. Chinese Journal of Space Science, 2012, 32(4): 560-566. doi: 10.11728/cjss2012.04.560
Citation: TANG Yi, WU Meiping, LI Xian, FU Xiaofeng. Orbit Design of Space-based Visible Sensor Satellite for Monitoring the Objects in Geosynchronous Belt[J]. Chinese Journal of Space Science, 2012, 32(4): 560-566. doi: 10.11728/cjss2012.04.560

Orbit Design of Space-based Visible Sensor Satellite for Monitoring the Objects in Geosynchronous Belt

doi: 10.11728/cjss2012.04.560 cstr: 32142.14.cjss2012.04.560
  • Received Date: 2011-03-28
  • Rev Recd Date: 2011-11-03
  • Publish Date: 2012-07-15
  • Based on the analysis of the optical and positional characteristics for geosynchronous objects, this paper motivates the location chosen for the search fence and the Space-Based Visible (SBV) sensor operating strategy. The relationship among the size of the search fence, the time required to search the fence region and the times of the observation is deduced firstly. Then, according to the requirement of the space mission and the characteristics of SBV sensor, this paper selected the surveillance orbit type and established the constraint conditions of the system parameters. Finally, the range of altitude for the surveillance orbit is provided on the constraint conditions, and the observational efficiencies of all possible surveillance orbits are simulated. The results of simulation indicate that the percentages of coverage for objects in geosynchronous belt of the surveillance orbits are above 90% when the orbital parameters are suitable. The percentages of coverage are above 95% when the field of view for SBV sensor is about 4° × 4° or the size of the search fence is above 40°.

     

  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article Views(2778) PDF Downloads(1105) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return