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Research on multi-mode drone jamming technology

  • Jun Yang
  • , Zechen Zheng
  • , Chengkai Tang
  • , Junliang Wang
  • , Lingling Zhang
  • , Hechen Lin
  • Northwestern Polytechnical University Xian
  • Qinzhou University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

With the explosive growth of low-altitude UAV applications, the security threats they pose have prompted countermeasure technology research to become a hotspot. In this paper, a multi-mode jamming scheme based on software radio is proposed for UAV communication and navigation links. The UAV data link is blocked by comb and sweep interference techniques. Combined with generative navigation spoofing technology to achieve navigation link deception, the interference parameters are optimized by introducing the third-generation genetic algorithm to improve the success rate of interference. Based on the software radio, the UAV is tested for jamming, and the experiment shows that: comb jamming and frequency sweeping jamming can cut off the control link, and the navigation deception makes the UAV deviate from the preset path, which realizes the effective jamming of the UAV.

源语言英语
主期刊名Proceedings of 2025 IEEE 15th International Conference on Signal Processing, Communications and Computing, ICSPCC 2025
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798331565466
DOI
出版状态已出版 - 2025
活动15th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2025 - Hong Kong, 中国
期限: 18 7月 202521 7月 2025

丛书

姓名Proceedings of 2025 IEEE 15th International Conference on Signal Processing, Communications and Computing, ICSPCC 2025

会议

会议15th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2025
国家/地区中国
Hong Kong
时期18/07/2521/07/25

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