Study on Data Fusion Algorithm for GPS Integrated Vehicle Velocity Testing System
Yugui Tao · Computer Technology and Development · 2009
A mathematical model of the federated Kalman filter for GPS /accelerometer integrated vehicle velocity testing system was designed and established.Presents an adaptive federated Kalman filtering method and algorithm,the techniques such as the Kalman filtering of random linear discrete system and the extended Kalman filtering of nonlinear discrete system were used to update filtering of data.Theoretical analysis and semi-physical simulation results demonstrated that the data fusion algorithm greatly improves the performance of the integrated vehicle velocity testing system in measuring accuracy,reliability,adaptivity and real-time processing rate.