基于区域选择的GNSS故障诊断及处理算法  

GNSS Fault Diagnosis and Processing Algorithm Based on Area Selection

作　　者：王添 陆逸适 谢智龙 卓桂荣[1] WANG Tian;LU Yishi;XIE Zhilong;ZHUO Guirong(School of Automotive Studies,Tongji University,Shanghai 201804,China;Shanghai GONGJI Technology Co.,Ltd.,Shanghai 201804,China)

机构地区：[1]同济大学汽车学院,上海201804 [2]上海共迹科技有限公司,上海201804

出　　处：《汽车零部件》2022年第S01期78-84,共7页Automobile Parts

摘　　要：高精度定位是无人驾驶的基石。全球卫星导航系统可以提供绝对位置,但是极易受到环境的干扰,尤其是在城市峡谷的工况下。根据遮挡物呈区域状分布的特点,本文提出一种新型的全球卫星导航系统(global navigation satllite system,GNSS)故障诊断及处理算法,自动检测故障卫星所在的故障区域,并排除该区域内的故障卫星,提高定位精度。实验结果表明,采用本文提出的故障诊断与处理算法的定位结果相比原始的定位方法在X、Y、Z 3个方向的精度均有提升,位置的标准误差(RMSE)值提高47.96%,效果显著。High-precision positioning is the cornerstone of unmanned driving.Global satellite navigation systems can provide absolute positions,but they are extremely susceptible to environmental interference,especially in urban canyons.Based on the regional distribution of obstructions,this paper proposes a new type of GNSS fault diagnosis and processing algorithm,which automatically detects the faulty area where the faulty satellite is located,and eliminates the faulty satellite in the area to improve the positioning accuracy.The experimental results show that the positioning results using the fault diagnosis and processing algorithm proposed in this paper have improved accuracy in the three directions of X,Y,and Z compared with the original positioning method,and the RMSE value of the position is increased by 47.96%,which is a significant effect.

关 键 词：区域选择 故障诊断 差分定位 

分 类 号：U469.79[机械工程—车辆工程]