Han Yi, Zhang Jingjing, Luo Jinglin
School of Intelligent Manufacturing and Equipment, Shenzhen Institute of Information Technology, Shenzhen, 518172, China.
School of Mechatronic Engineering and Automation, Foshan University, Foshan, 528225, Guangdong, China.
Sci Rep. 2025 Apr 24;15(1):14394. doi: 10.1038/s41598-025-97961-w.
A key challenge for unmanned aerial vehicle (UAV) swarms is achieving inter-aircraft relative direction of arrival (DOA) estimation in global navigation satellite system (GNSS) denied environments without relying on fixed base stations. This paper proposes a Ultra-wide Bandwidth (UWB) based method where each UAV acts as both a transmitter and receiver, effectively functioning as a mobile base station. A theoretical framework for all-directional DOA estimation using a regular tetrahedral array is derived, resolving phase ambiguities via a genetic algorithm (GA) with phase difference information. Simulation results demonstrate that GA-UWB algorithm has a better performance than WP-UWB. When considering noise both in time difference and phase difference information, the algorithm proposed in this paper has a higher success rate.
无人机群面临的一个关键挑战是,在不依赖固定基站的情况下,于全球导航卫星系统(GNSS)信号被拒的环境中实现飞行器间相对到达方向(DOA)估计。本文提出一种基于超宽带(UWB)的方法,其中每架无人机既作为发射器又作为接收器,有效地充当移动基站。推导了使用规则四面体阵列进行全向DOA估计的理论框架,通过带有相位差信息的遗传算法(GA)解决相位模糊问题。仿真结果表明,GA-UWB算法比WP-UWB具有更好的性能。当同时考虑时间差和相位差信息中的噪声时,本文提出的算法具有更高的成功率。