基于SDR的无人机定位系统的实验评估
Cristian Codău1, Rareș-Călin Buta1, Andra Păstrăv1
1Communications Department, Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114 Cluj-Napoca, Romania.
Sensors (Basel, Switzerland)
|May 11, 2024
概括
这项研究在软件定义无线电 (SDR) 系统上实现了MUSIC算法,用于无人机本地化. 该系统准确地确定无人机信号的到达角度 (AoA),这对于跟踪和控制至关重要.
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:
- 无人驾驶飞行器 (UAV),特别是无人机的普及,导致人们对非法活动的担忧增加.
- 无人机的有效定位和跟踪对于安全和控制至关重要.
- 基于射频 (RF) 的定位技术,特别是次空间算法,为确定信号源位置提供了高精度.
研究的目的:
- 在软件定义无线电 (SDR) 平台上实现和实验评估MUSIC算法,用于无人机本地化.
- 评估系统在户外环境中确定目标无人机信号的到达角 (AoA) 的能力.
主要方法:
- 在SDR系统上使用统一的圆形天线阵列实现MUSIC算法.
- 在户外环境中进行实验部署,以捕获现实世界的无人机通信信号.
- 获得的AoA结果与无人机应用日志文件和专业定向解决方案 (Narda SignalShark) 的比较.
主要成果:
- 实施的基于SDR的系统成功地表示了目标无人机信号的到达角 (AoA).
- 实验结果证明了该系统在实际户外环境中的能力.
- 与专业设备的验证证实了MUSIC算法的本地化性能的准确性.
结论:
- 在一个具有统一圆形天线阵列的SDR平台上实施的MUSIC算法是无人机定位的可行和准确方法.
- 该系统确定AoA的能力对于开发有效的无人机检测和跟踪系统至关重要.
- 进一步的研究可以探索先进的算法和数组配置,以增强无人机监控能力.
关键词:
音乐算法 音乐算法特别提款权 (SDR) 是一种特别提款权.无人机通信 无人机通信在到达的角度到达的角度.寻找方向的方向探测器在本地化,本地化.信号处理 信号处理 信号处理统一的圆形阵列是一个统一的圆形阵列.更多相关视频
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