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Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part I

Research Article

Interference Source Location Based on Spaceborne Multi-beam Antenna

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  • @INPROCEEDINGS{10.1007/978-3-030-69069-4_21,
        author={Cen Ruan and Laiding Zhao and Gengxin Zhang and Jidong Xie},
        title={Interference Source Location Based on Spaceborne Multi-beam Antenna},
        proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part I},
        proceedings_a={WISATS},
        year={2021},
        month={2},
        keywords={Interference source location Single-satellite Multi-beam antenna Gain error PSO combined with grid-search},
        doi={10.1007/978-3-030-69069-4_21}
    }
    
  • Cen Ruan
    Laiding Zhao
    Gengxin Zhang
    Jidong Xie
    Year: 2021
    Interference Source Location Based on Spaceborne Multi-beam Antenna
    WISATS
    Springer
    DOI: 10.1007/978-3-030-69069-4_21
Cen Ruan1, Laiding Zhao1,*, Gengxin Zhang1, Jidong Xie1
  • 1: Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications
*Contact email: zhaold@njupt.edu.cn

Abstract

Based on the frequency division multiplexing principle of the multi-beam antenna, this paper proposes a new method for locating interference sources by only one single satellite. According to the antenna pattern function expression of multi-beam antennas, the positioning equations are derived and established by analyzing the link that interfering signal arrives at the spaceborne multi-beam antenna from the ground. Importantly, the gain error is introduced in the positioning process when we evaluate the performance of this positioning method. Considering the difficulty of solving nonlinear positioning equations, a new algorithm combining the Particle Swarm Optimization (PSO) and grid search is proposed. At the same time, in this paper, in order to analyze the feasibility of this new algorithm, we introduce the Monte Carlo method in the process of this experiment. Finally, this new algorithm is compared with the traditional Particle Swarm Optimization in terms of speed and accuracy, which shows the superiority of this new algorithm.

Keywords
Interference source location Single-satellite Multi-beam antenna Gain error PSO combined with grid-search
Published
2021-02-28
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-69069-4_21
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