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A Tracking Method of Formation Satellites Cluster for Single-Beam and Multi-target TT&C Equipments

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Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7002))

Abstract

In order to slowing current tensional status of tracking, telemetry and command (TT&C) resources and developing farthest capabilities of multi-target TT&C equipments, the problem about single-beam and multi-target TT&C Equipments tracking synchronously formation satellites cluster is researched in this paper. Based on smooth and reliable multi-target tracking principle and characteristic of single-beam antenna axis pointing to main target, confirming methods of main tracking target for single-beam and multi-target TT&C Equipments based on two tracking modes are proposed, Simulation results show that this tracking method is feasible and valid.

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References

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Author information

Authors and Affiliations

  1. State Key Laboratory of Astronautic Dynamics, Xi’an Satellite Control Center, Xi’an, China

    Jian-Ping Liu, Jing Li, Jian Bai & Pei-Jun Yu

Authors
  1. Jian-Ping Liu
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  2. Jing Li
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  3. Jian Bai
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  4. Pei-Jun Yu
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Editor information

Editors and Affiliations

  1. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, VIC, Australia

    Hepu Deng

  2. School of Electronics and Information, Tongji University, 201804, Shanghai, China

    Duoqian Miao

  3. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  4. Department of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

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© 2011 Springer-Verlag Berlin Heidelberg

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Liu, JP., Li, J., Bai, J., Yu, PJ. (2011). A Tracking Method of Formation Satellites Cluster for Single-Beam and Multi-target TT&C Equipments. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23881-9_15

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  • DOI: https://doi.org/10.1007/978-3-642-23881-9_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23880-2

  • Online ISBN: 978-3-642-23881-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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