在商用无人机的无线电传输中轻量级检测插入的Chirp符号
Krzysztof K Cwalina1, Piotr Rajchowski1, Jarosław Sadowski1
1Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 80-233 Gdansk, Poland.
Sensors (Basel, Switzerland)
|August 14, 2025
概括
本研究介绍了检测DJI无人机独特声信号的简单方法. 这些技术使得无人机可以在没有事先了解其特定频率的情况下进行探测.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
- 航空航天工程 航空航天工程
背景情况:
- 商用小型无人机依赖于连续的无线电通信.
- 通过无线电信号检测无人机是具有挑战性的,因为共享的未经许可的频段.
- 独特的信号特征对于可靠的无人机检测至关重要.
研究的目的:
- 提出低复杂度的方法来检测UAV下链传输中的声符号.
- 为了能够检测到声符号,而不需要先前的知识或中心频率估计.
主要方法:
- 开发低复杂度的算法,用于声符号检测.
- 专注于分析DJI无人机的下链传输.
- 设计用于没有先验频率信息的操作的方法.
主要成果:
- 在无人机无线电传输中成功检测了声符号.
- 证明了低复杂度检测方法的有效性.
- 验证不需要中心频率估计的技术.
结论:
- 提出的方法提供了一种可行的方法,可以根据其独特的声信号来检测无人机.
- 这些技术可以在复杂的无线电环境中增强无人机检测能力.
- 这些发现有助于改善涉及小型无人机的空域安全和管理.
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