基于变特性约束滤波的GNSS车辆信息网络系统定位  

GNSS Vehicle Information Network System Localization Based on Variable Characteristic Constraint Filtering

作　　者：马彩兰 Ma Cailan(School of Automotive and Mechanical Engineering,Zhoukou Vocational and Technical College,Zhoukou Henan 466000,China)

机构地区：[1]周口职业技术学院汽车与机电工程学院,河南周口466000

出　　处：《现代工业经济和信息化》2024年第2期95-96,99,共3页Modern Industrial Economy and Informationization

摘　　要：为了提高车辆定位信息的准确性,设计了一种基于变特性约束滤波算法的全球导航卫星系统(GNSS)车辆定位方法。根据轨道参数完成北斗卫星导航系统(BeiDou navigation satellite system, BDS)定位,实现对车辆实际轨道情况的充分考虑。研究结果表明:经过模拟发现HF算法达到了比KF算法更优的定位精度,并具备更稳定的计算状态。设置变特性约束条件的滤波算法可以有效提升定位精度,HF算法表现出更优的鲁棒性,更好地满足了车辆不断变化的运动特征。The Beidou navigation satellite system(BDS)effectively guarantees the safety of China's transportation system.In order to improve the accuracy of vehicle positioning information,a Global Navigation satellite System(GNSS)vehicle positioning method based on variable characteristic constraint filtering algorithm is designed.The BeiDou navigation satellite system(BDS)positioning is completed according to the orbit parameters,and the actual trajectory of the vehicle is fully considered.The results show that HF algorithm achieves better positioning accuracy than KF algorithm,and has more stable calculation state.The filtering algorithm with variable characteristic constraints can effectively improve the positioning accuracy,and HF algorithm shows better robustness and better meets the changing motion characteristics of vehicles.

关 键 词：变特性约束 北斗卫星导航系统 车辆定位 鲁棒性 

分 类 号：TH86[机械工程—仪器科学与技术]