无线电工程2025，Vol.55Issue(4)：883-890,8.DOI:10.3969/j.issn.1003-3106.2025.04.023
卫星信号遮蔽环境下车辆位置预测技术研究
Research on Vehicle Position Prediction Technology in Satellite Signal Obscured Environments
摘要
Abstract
With the widespread application of satellite navigation technologies such as the Global Navigation Satellite System(GNSS),in environments such as tunnels,dense forests,and mountainous areas with weak or no signals,traditional satellite navigation technology struggles to provide stable and reliable positioning services.To address the issues of path planning and position determination under signal obstruction,a positioning method is designed based on an improved Dynamic Window Approach(DWA)for local obstacle avoidance.First,to ensure that the target vehicle can drive correctly and avoid obstacles,human driving habits are incorporated into the path planning process,factors such as following other vehicles,speed limits,lane changes,and overtaking are taken into consideration.This enhances the vehicle's behavior and decision-making patterns.Additionally,the positioning information at the moment the signal disappears is used to calibrate the vehicle's position for its subsequent movement based on the path generated by the algorithm,thereby achieving positioning even when the signal is limited.Experimental results indicate that this method can yield results in line with practical situations and the effectiveness of the algorithm is validated in various environments.关键词
全球导航卫星系统/动态窗口算法/路径规划Key words
GNSS/DWA/path planning分类
天文与地球科学引用本文复制引用
张强,曹新亮..卫星信号遮蔽环境下车辆位置预测技术研究[J].无线电工程,2025,55(4):883-890,8.基金项目
国家自然科学基金(62141107) （62141107）
陕西省重点研发计划项目 National Natural Science Foundation of China(62141107) （62141107）
Key R&D Project of Shaanxi Province （）
