自动化与信息工程2025，Vol.46Issue(2)：32-37,6.DOI:10.12475/aie.20250205
一种基于机器学习的无人机集群协同定位方法
A Cooperative Localization Method for Unmanned Aerial Vehicle Swarm Based on Machine Learning
刘雅宁 1卢浩 2程彦汇3
作者信息
- 1. 北京中电华大电子设计有限责任公司,北京 102209
- 2. 山东云海国创云计算装备产业创新中心有限公司,北京 100095
- 3. 北京智芯微电子科技有限公司,北京 102200
- 折叠
摘要
Abstract
To address the issue of significant positioning errors caused by non-line-of-sight(NLOS)propagation and other interference factors in wireless localization technologies,this paper proposes a machine learning based collaborative localization method for unmanned aerial vehicle(UAV)swarms.Firstly,a localization model for UAV clusters is established,and a time difference of arrival(TDOA)based localization algorithm is utilized to eliminate clock deviations between UAVs and the target.Then,a line-of--sight/non-line-of-sight(LOS/NLOS)classification model is constructed using a support vector machine(SVM),which distinguishes LOS and NLOS signals by analyzing characteristic parameters of received signals.Finally,based on the classification results,a feature selection based NLOS mitigation algorithm is applied to filter samples suitable for target localization calculation.Simulation results demonstrate that the proposed method effectively reduces NLOS induced errors and enhances the robustness of the localization algorithm.关键词
无人机集群/协同定位/机器学习/非视距误差/支持向量机/到达时间差Key words
unmanned aerial vehicle swarm/collaborative localization/machine learning/NLOS error/support vector machine/time difference of arrival分类
计算机与自动化引用本文复制引用
刘雅宁,卢浩,程彦汇..一种基于机器学习的无人机集群协同定位方法[J].自动化与信息工程,2025,46(2):32-37,6.
