A New Algorithm for Navigation Trajectory Prediction of Land Vehicles Based on a Generalised Extended Extrapolation Model

Dynamic trajectory prediction is an important topic in the field of navigation and positioning. Due to the drawbacks of a Global Navigation Satellite System (GNSS) receiver, the trajectory of the position always lags behind the dynamic platform's actual position, especially in highly dynamic si...

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Bibliographic Details
Published in:Journal of navigation 2019-09, Vol.72 (5), p.1217-1232
Main Authors: Shang, Junna, Liu, Can, Shi, Huli, Cheng, Tao, Yue, Keqiang
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Computer simulation
Coordinate transformations
Experiments
Extrapolation
Feasibility studies
Global navigation satellite system
Interpolation
Navigation
Navigation systems
Navigational satellites
Neural networks
Trajectories
Vehicles
Velocity
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Summary:Dynamic trajectory prediction is an important topic in the field of navigation and positioning. Due to the drawbacks of a Global Navigation Satellite System (GNSS) receiver, the trajectory of the position always lags behind the dynamic platform's actual position, especially in highly dynamic situations. In order to solve the prediction of a dynamic trajectory, a generalised extension extrapolated model is proposed in this paper. The model utilises the current motion state and a priori position data of the platform, combines the interpolation and fitting method, adds the angle information as a constraint condition and solves the platform position prediction. In this paper, the feasibility of the generalised extended extrapolation algorithm is analysed theoretically and practically. Simulation results show that the prediction error is within 0.2 metres and experimental results show that the algorithm still has high prediction accuracy when a land vehicle platform is turned through a large angle.
ISSN:0373-4633
1469-7785
DOI:10.1017/S0373463319000055