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Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I

Research Article

Separation Algorithm of Fixed Wing UAV Positioning Signal Based on AI

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-28787-9_23,
        author={Zhihui Zou and Zihe Wei},
        title={Separation Algorithm of Fixed Wing UAV Positioning Signal Based on AI},
        proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2023},
        month={3},
        keywords={Artificial intelligence Fixed-wing UAV Positioning signal Signal separation},
        doi={10.1007/978-3-031-28787-9_23}
    }
    
  • Zhihui Zou
    Zihe Wei
    Year: 2023
    Separation Algorithm of Fixed Wing UAV Positioning Signal Based on AI
    ADHIP
    Springer
    DOI: 10.1007/978-3-031-28787-9_23
Zhihui Zou1,*, Zihe Wei1
  • 1: College of Humanity and Information, Changchun University of Technology
*Contact email: yongg30110@163.com

Abstract

Unmanned aerial vehicle (UAV) is an unmanned aircraft remotely controlled by radio, which is widely used in reconnaissance. However, during the operation of UAV, the positioning signal is easily disturbed by noise, which leads to low separation accuracy and poor positioning effect of fixed wing UAV. To this end, a fixed wing UAV positioning signal separation algorithm based on artificial intelligence is proposed. The fixed-wing UAV positioning signal denoising algorithm is constructed by collecting the feature information of fixed-wing UAV, and the denoising of fixed-wing UAV positioning signal is completed. In order to reduce the signal separation error and realize the fixed wing UAV positioning signal separation, signal separation is processed according to the positioning signal algorithm. Experimental results show that the proposed algorithm can effectively separate the UAV location signal from the noise, and has high accuracy and good location effect under serious multipath interference.

Keywords
Artificial intelligence Fixed-wing UAV Positioning signal Signal separation
Published
2023-03-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-28787-9_23
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