Open Access
Issue
JNWPU
Volume 43, Number 3, June 2025
Page(s) 536 - 545
DOI https://doi.org/10.1051/jnwpu/20254330536
Published online 11 August 2025
  1. SHEN Lirong, MAO Jia, LIU Zhiwei, et al. Coverage and visibility analysis of iridium and starlink constellations for autonomous navigation of aircraft[J]. Astronautical Systems Engineering Technology, 2024, 8(1): 48–57 (in Chinese) [Google Scholar]
  2. ORTORE E, CINELLI M, CIRCI C. A ground track-based approach to design satellite constellations[J]. Aerospace Science and Technology, 2017, 69: 458–464 [Google Scholar]
  3. DAI G, CHEN X, WANG M, et al. Analysis of satellite constellations for the continuous coverage of ground regions[J]. Journal of Spacecraft and Rockets, 2017, 54(6): 1294–1303 [NASA ADS] [CrossRef] [Google Scholar]
  4. WANG H, BAI S. A versatile method for target area coverage analysis with arbitrary satellite attitude maneuver paths[J]. Acta Astronautica, 2022, 194: 242–254 [Google Scholar]
  5. YAN Ye, REN Xuan, CHEN Lei. Criterion and algorithm of satellites coverage situation[J]. Journal of Astronautics, 1999, 20(2): 55–60 (in Chinese) [Google Scholar]
  6. ULYBYSHEV Y. General analysis method for discontinuous coverage satellite constellations[J]. Journal of Guidance, Control, and Dynamics, 2015, 12(38): 2475–2482 [Google Scholar]
  7. GONG Y, ZHANG S, PENG X. Quick coverage analysis of mega walker constellation based on 2D map[J]. Acta Astronautica, 2021, 188: 99–109 [Google Scholar]
  8. ZHANG Y, BAI S, HAN C. Geometric analysis of a constellation with a ground target[J]. Acta Astronautica, 2022, 191: 510–521 [Google Scholar]
  9. XU M, HUANG L. An analytic algorithm for global coverage of the revisiting orbit and its application to the CFOSAT satellite[J]. Astrophysics and Space Science, 2014, 352(2): 497–502 [Google Scholar]
  10. LYU Linli, XIAO Xinxin, FENG Guanhua, et al. Efficient algorithm for calculating coverage of mega-constellation[J]. Acta Aeronautica et Astronautica Sinica, 2022, 43(3): 426–436 (in Chinese) [Google Scholar]
  11. CHEN X, SONG Z, DAI G, et al. A general formal method for manifold coverage analysis of satellite constellations[J]. IEEE Trans on Aerospace and Electronic Systems, 2022, 58(2): 1462–1479 [Google Scholar]
  12. ZHOU M, SONG Z, DAI G, et al. Characteristic area-based method for continuous coverage analysis of satellites constellation[J]. IEEE Trans on Aerospace and Electronic Systems, 2023, 59(5): 7128–7139 [Google Scholar]
  13. CHEN Xiaoyu, DAI Guangming, CHEN Liang, et al. A method for constellation performance analysis based on spherical subdivision[J]. Journal of Astronautics, 2016, 37(10): 1246–1254 (in Chinese) [Google Scholar]
  14. WU Huanqin, WANG Maocai, SONG Zhiming, et al. A random error estimation method for satellites being launched into orbit based on ellipsoid theory[J]. Journal of Northwestern Polytechnical University, 2023, 41(4): 802–811. [Article] (in Chinese) [Google Scholar]
  15. JIAN Ping, ZOU Peng, XIONG Wei, et al. Improved grid method for analysis on coverage performance of staring sensors based LEO[J]. Journal of Air Force Engineering University, 2012, 13(3): 35–39 (in Chinese) [Google Scholar]
  16. HANG W, SHIMIZU S, YOSHIKAWA S, et al. Satellite constellation pattern optimization for complex regional coverage[J]. Journal of Spacecraft and Rockets, 2020, 57: 1309–1327 [Google Scholar]
  17. CHEN X, GU W, DAI G, et al., Data-driven collaborative scheduling method for multi-satellite data-transmission[J]. Tsinghua Science and Technology, 2024, 29(5): 1463–1480 [Google Scholar]
  18. RUAN Qiming, TAN Yuejin, LI Yongtai, et al. Using constraint satisfaction to cooperate satellites' activities for the mission of area target observation[J]. Journal of Astronautics, 2007, 28(1): 238–242 (in Chinese) [Google Scholar]
  19. SHAO X, ZHANG Z, WANG J, et al. NSGA-Ⅱ-based multi-objective mission planning method for satellite formation system[J]. Journal of Aerospace Technology and Management, 2016, 8(4): 451–458 [Google Scholar]
  20. LIU Huajun, CAI Bo, ZHU Qing. Self-adaptive planning method of imaging reconnaissance satellites area coverage[J]. Geomatics and Information Science of Wuhan University, 2017, 42(12): 1719–1725 (in Chinese) [Google Scholar]
  21. SONG Zhiming, LIU Haidong, CHEN Xiaoyu, et al. An efficient algorithm for solving the constellation-to-ground region coverage problem based on longitude strip division[J]. Journal of Northwestern Polytechnical University, 2021, 39(4): 919–929. [Article] (in Chinese) [Google Scholar]
  22. XU Yudong, ZHOU Jingbo, YIN Jiazhao, et al. Review of mission planning strategies and applications of earth observation satellites[J]. Radio Engineering, 2021, 51(8): 681–690 (in Chinese) [Google Scholar]
  23. ZHU W, HU X, XIA W, et al. A three-phase solution method for the scheduling problem of using earth observation satellites to observe polygon requests[J]. Computers Industrial Engineering, 2019, 130: 97–107 [Google Scholar]
  24. YANG Jiwei, FU Wei, HAN Li, et al. Regional target planning algorithm of satellite imaging based on global grid[J]. Spacecraft Engineering, 2021, 30(1): 31–38 (in Chinese) [Google Scholar]
  25. LI X. Two-archive2 algorithm for large-scale polygon targets observation scheduling problem[C]//Proceedings of the 2nd International Conference on Information Technology and Management Engineering, Shanghai, 2017: 23–24 [Google Scholar]
  26. XU Y, LIU X, HE R, et al. Multi-satellite scheduling framework and algorithm for very large area observation[J]. Acta Astronautica, 2020, 167: 93–107 [Google Scholar]
  27. ZHENG Minghui. Multi-star observation area coverage algorithm based on triangulation[D]. Changchun: Jilin University, 2023 (in Chinese) [Google Scholar]
  28. SONG Z, LIU H, DAI G, et al. Cell area-based method for analyzing the coverage capacity of satellite constellations[J]. International Journal of Aerospace Engineering, 2021(1): 6679107 [Google Scholar]

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