About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part II

Research Article

Single-Satellite Interference Source Locating Based on Four Co-efficiency Beam

Download(Requires a free EAI acccount)
11 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-69072-4_51,
        author={Laiding Zhao and Li Zhiwei and Cen Ruan and Yue Zheng},
        title={Single-Satellite Interference Source Locating Based on Four Co-efficiency Beam},
        proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part II},
        proceedings_a={WISATS PART 2},
        year={2021},
        month={2},
        keywords={Satellite communication Interference source locating Swarm optimization algorithm Antenna gain pointing model},
        doi={10.1007/978-3-030-69072-4_51}
    }
    
  • Laiding Zhao
    Li Zhiwei
    Cen Ruan
    Yue Zheng
    Year: 2021
    Single-Satellite Interference Source Locating Based on Four Co-efficiency Beam
    WISATS PART 2
    Springer
    DOI: 10.1007/978-3-030-69072-4_51
Laiding Zhao1, Li Zhiwei2, Cen Ruan1,*, Yue Zheng3
  • 1: Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications
  • 2: College of Information Science and Electronic Engineering, ZheJiang University
  • 3: College of Communication Engineer, Nanjing University of Posts and Telecommunications
*Contact email: 1018010327@njupt.edu.cn

Abstract

With the previous method based on the signal strength of the three-beam interference source [1], after studying and deriving the antenna gain pointing model, this paper proposes a single-star interference source localization method based on the signal strength of the four-beam interference source. As for solving the nonlinear directional equations, this paper proposes an improved particle swarm optimization algorithm to obtain its numerical solution, which is compared with the previous ordinary particle swarm optimization algorithm [2]. Then, using the least square method, the multi-group data is used to determine the interference source with the smallest error. First orientation and then positioning. After the simulation test of the proposed positioning method, the feasibility of the algorithm for positioning is proved. The method proposed in this paper is compared with the previous positioning method to prove the robustness of the algorithm.

Keywords
Satellite communication Interference source locating Swarm optimization algorithm Antenna gain pointing model
Published
2021-02-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-69072-4_51
Copyright © 2020–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL