IDEAS home Printed from https://ideas.repec.org/a/sae/joudef/v18y2021i2p87-103.html
   My bibliography  Save this article

Research on detection mission scheduling strategy for the LEO constellation to multiple targets

Author

Listed:
  • Fuyu Sun
  • Hua Wang

Abstract

The space-based infrared LEO constellation has the ability of surveillance and tracking of ballistic missiles during entire phases, which has played an important role in the ballistic missile defense system (BMDS). This paper focuses on the scheduling strategy for the LEO constellation to multiple targets. The concept of average contribution of the satellite is firstly introduced, transforming the dynamic scheduling process to continuous intervals. The switching frequency and relaxation degree are also considered as decision variables. Then the multilayer coding genetic algorithm is improved in order to solve the scheduling problem. Finally, a scheduling demonstration validates the correctness and effectiveness of the presented method. The theory analysis and simulation results of this paper can provide powerful support for future design of the LEO constellation and research on the BMDS.

Suggested Citation

  • Fuyu Sun & Hua Wang, 2021. "Research on detection mission scheduling strategy for the LEO constellation to multiple targets," The Journal of Defense Modeling and Simulation, , vol. 18(2), pages 87-103, April.
    • Handle: RePEc:sae:joudef:v:18:y:2021:i:2:p:87-103
    DOI: 10.1177/1548512917705493
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1548512917705493
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1548512917705493?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bianchessi, Nicola & Cordeau, Jean-Francois & Desrosiers, Jacques & Laporte, Gilbert & Raymond, Vincent, 2007. "A heuristic for the multi-satellite, multi-orbit and multi-user management of Earth observation satellites," European Journal of Operational Research, Elsevier, vol. 177(2), pages 750-762, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rigo, Cezar Antônio & Seman, Laio Oriel & Camponogara, Eduardo & Morsch Filho, Edemar & Bezerra, Eduardo Augusto & Munari, Pedro, 2022. "A branch-and-price algorithm for nanosatellite task scheduling to improve mission quality-of-service," European Journal of Operational Research, Elsevier, vol. 303(1), pages 168-183.
    2. Shai Krigman & Tal Grinshpoun & Lihi Dery, 2024. "Scheduling of Earth observing satellites using distributed constraint optimization," Journal of Scheduling, Springer, vol. 27(5), pages 507-524, October.
    3. Lei He & Mathijs Weerdt & Neil Yorke-Smith, 2020. "Time/sequence-dependent scheduling: the design and evaluation of a general purpose tabu-based adaptive large neighbourhood search algorithm," Journal of Intelligent Manufacturing, Springer, vol. 31(4), pages 1051-1078, April.
    4. Zhang Ye & Hu Xiaoxuan & Zhu Waiming & Jin Peng, 2018. "Solving the Observing and Downloading Integrated Scheduling Problem of Earth Observation Satellite with a Quantum Genetic Algorithm," Journal of Systems Science and Information, De Gruyter, vol. 6(5), pages 399-420, October.
    5. Fliege, Jörg & Kaparis, Konstantinos & Khosravi, Banafsheh, 2012. "Operations research in the space industry," European Journal of Operational Research, Elsevier, vol. 217(2), pages 233-240.
    6. Chen, Xiaoyu & Reinelt, Gerhard & Dai, Guangming & Spitz, Andreas, 2019. "A mixed integer linear programming model for multi-satellite scheduling," European Journal of Operational Research, Elsevier, vol. 275(2), pages 694-707.
    7. Jing Yu & Jiawei Guo & Lining Xing & Yanjie Song & Zhaohui Liu, 2024. "Two-Stage Satellite Combined-Task Scheduling Based on Task Merging Mechanism," Mathematics, MDPI, vol. 12(19), pages 1-22, October.
    8. Tangpattanakul, Panwadee & Jozefowiez, Nicolas & Lopez, Pierre, 2015. "A multi-objective local search heuristic for scheduling Earth observations taken by an agile satellite," European Journal of Operational Research, Elsevier, vol. 245(2), pages 542-554.
    9. Bernhard, Pierre & Deschamps, Marc & Zaccour, Georges, 2023. "Large satellite constellations and space debris: Exploratory analysis of strategic management of the space commons," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1140-1157.
    10. Xiao, Yiyong & Zhang, Siyue & Yang, Pei & You, Meng & Huang, Jiaoying, 2019. "A two-stage flow-shop scheme for the multi-satellite observation and data-downlink scheduling problem considering weather uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 263-275.
    11. Jingjing Zhang & Chenyang He & Yan Zhang & Xianjun Qi & Xi Yang, 2024. "CubeSat Mission Scheduling Method Considering Operational Reliability," Energies, MDPI, vol. 17(2), pages 1-16, January.
    12. de Weerdt, Mathijs & Baart, Robert & He, Lei, 2021. "Single-machine scheduling with release times, deadlines, setup times, and rejection," European Journal of Operational Research, Elsevier, vol. 291(2), pages 629-639.
    13. Alex Elkjær Vasegaard & Ilkyeong Moon & Peter Nielsen & Subrata Saha, 2023. "Determining the pricing strategy for different preference structures for the earth observation satellite scheduling problem through simulation and VIKOR," Flexible Services and Manufacturing Journal, Springer, vol. 35(3), pages 945-973, September.
    14. Karapetyan, Daniel & Mitrovic Minic, Snezana & Malladi, Krishna T. & Punnen, Abraham P., 2015. "Satellite downlink scheduling problem: A case study," Omega, Elsevier, vol. 53(C), pages 115-123.
    15. Jie Chun & Wenyuan Yang & Xiaolu Liu & Guohua Wu & Lei He & Lining Xing, 2023. "Deep Reinforcement Learning for the Agile Earth Observation Satellite Scheduling Problem," Mathematics, MDPI, vol. 11(19), pages 1-20, September.
    16. Wang, Xin-Wei & Chen, Zhen & Han, Chao, 2016. "Scheduling for single agile satellite, redundant targets problem using complex networks theory," Chaos, Solitons & Fractals, Elsevier, vol. 83(C), pages 125-132.
    17. Philippe Monmousseau, 2021. "Scheduling of a Constellation of Satellites: Creating a Mixed-Integer Linear Model," Journal of Optimization Theory and Applications, Springer, vol. 191(2), pages 846-873, December.
    18. Bingyu Song & Feng Yao & Yuning Chen & Yingguo Chen & Yingwu Chen, 2018. "A Hybrid Genetic Algorithm for Satellite Image Downlink Scheduling Problem," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-11, May.
    19. Jang, Jinbong & Choi, Jiwoong & Bae, Hee-Jin & Choi, In-Chan, 2013. "Image collection planning for KOrea Multi-Purpose SATellite-2," European Journal of Operational Research, Elsevier, vol. 230(1), pages 190-199.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:joudef:v:18:y:2021:i:2:p:87-103. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.