• AEROSPACE SHANGHAI
  • Vol. 41, Issue 6, 106 (2024)
Yongqiang ZHANG*, Xijie XU, Meizhi YAN, Yonghe ZHANG..., Hefeng BAI, Zhiming ZHAO and Hongfei CHEN|Show fewer author(s)
Author Affiliations
  • Beijing Institute of Tracking and Telecommunications Technology,Beijing100094,China
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    DOI: 10.19328/j.cnki.2096-8655.2024.06.013 Cite this Article
    Yongqiang ZHANG, Xijie XU, Meizhi YAN, Yonghe ZHANG, Hefeng BAI, Zhiming ZHAO, Hongfei CHEN. Study on Cooperative Model and Mission Planning of Observation Satellite Cluster[J]. AEROSPACE SHANGHAI, 2024, 41(6): 106 Copy Citation Text show less
    Composition diagram of satellite cluster formation
    Fig. 1. Composition diagram of satellite cluster formation
    Schematic diagram of the deployment strategy for the satellite cluster constellation system
    Fig. 2. Schematic diagram of the deployment strategy for the satellite cluster constellation system
    Deployment strategy diagram for enhancing the constellation system capabilities through expanding micro/nano satellite clusters
    Fig. 3. Deployment strategy diagram for enhancing the constellation system capabilities through expanding micro/nano satellite clusters
    Three regions with different radii to be confirmed
    Fig. 4. Three regions with different radii to be confirmed
    Schematic diagram of multi-satellite region splicing imaging
    Fig. 5. Schematic diagram of multi-satellite region splicing imaging
    Schematic diagram of relay continuous observation collaboration
    Fig. 6. Schematic diagram of relay continuous observation collaboration
    Schematic diagram of the mission planning for collaboration
    Fig. 7. Schematic diagram of the mission planning for collaboration
    Schematic diagram of the mission planning for guidance collaboration
    Fig. 8. Schematic diagram of the mission planning for guidance collaboration
    Schematic diagram of adjacent target judgment
    Fig. 9. Schematic diagram of adjacent target judgment
    Schematic diagram of the mission planning for collaborative identification and confirmation
    Fig. 10. Schematic diagram of the mission planning for collaborative identification and confirmation
    Schematic diagram of the mission planning for relay observation
    Fig. 11. Schematic diagram of the mission planning for relay observation
    Diagram of the verification system
    Fig. 12. Diagram of the verification system
    Simulation of single satellite revisit time
    Fig. 13. Simulation of single satellite revisit time
    Simulation of 15 satellites revisit time
    Fig. 14. Simulation of 15 satellites revisit time
    应用类型特点应用场景
    可见光不能透过云、雨等恶劣环境,只能在光照条件良好情况下工作鉴别物质特征
    红外可全天时工作,大气穿透力强,但易受云、雨等恶劣环境影响,识别伪装目标能力优越火灾、活火山、超音速飞行器识别监测
    高光谱分辨率为波长的1/100,图谱合一,光谱波段多达上千个可在某一光谱范围内连续成像,获取目标“指纹特征光谱”
    微波基本不受天气影响,具有全天时、全天候、幅宽大等优点S波段、C波段、X波段、P波段、Ku波段等合成孔径雷达 (Synthetic Aperture Radar,SAR)卫星
    Table 1. Characteristics and application comparisons of commonly used satellite payloads
    Yongqiang ZHANG, Xijie XU, Meizhi YAN, Yonghe ZHANG, Hefeng BAI, Zhiming ZHAO, Hongfei CHEN. Study on Cooperative Model and Mission Planning of Observation Satellite Cluster[J]. AEROSPACE SHANGHAI, 2024, 41(6): 106
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