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