使用麦克风阵列测量的无人机的频段分析和定位技术的比较
Anique Altena1, Mirjam Snellen1, Salil Luesutthiviboon1
1Faculty of Aerospace Engineering, Delft University of Technology, Delft, 2629HS, The Netherlands.
JASA express letters
|February 14, 2025
概括
这项研究证明了使用麦克风阵列精确的无人机声学定位. 不同进化估计了近场和更远距离的角度位置的3D位置,优化了无人机检测范围.
科学领域:
- 声学 声学 在声学上
- 信号处理 信号处理
- 机器人技术 机器人技术 机器人技术
背景情况:
- 无人机的声学定位对于监视和安全至关重要.
- 传统方法在准确性和范围方面面临着挑战,尤其是多个来源.
研究的目的:
- 评估无人机声学定位的无网格差异演变方法.
- 调查频段选择对本地化性能的影响.
- 为了确定各种无人机类型的定位范围.
主要方法:
- 采用差异演变来进行无网格的3D无人机位置估计.
- 在跨越广泛范围的多个狭窄频段分析声学数据.
- 评估六种不同的无人机模型的本地化性能.
主要成果:
- 无人机在近场的3D声学定位成功.
- 在更远的距离上实现了精确的角定位.
- 优化的频段使用增强了多源检测,并扩大了本地化范围.
结论:
- 无网格差异进化方法对无人机声学定位有效.
- 战略频段选择是最大化无人机检测和定位范围的关键.
- 该研究提供了对不同类型无人机本地化能力的见解.
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