Research In Application Of Vehicle GPS Navigation Dynamic Filtering Algorithms

The automobile guidance and the localization are developed in the whole world satellite positioning system(GPS,Global Positioning System)foundation as a new technology.In these years,with the development of navigation and orientation,people have higher demands to the orientation precision.It is necessity to improve on the filtering means.First of all,the basic principle,system structure and error sources of GPS positioning are analyzed.The discussion focuses on two important objective factors that influence positioning accuracy:localization signal and the receiver Furthermore, GPS signal is simulated.The principle,variety and advantage of DGPS are analyzed particularly.Next,the quality of GPS data Pre-Proeessing is the key to improve GPS positioning precision in either GPS static positioning or dynamic positioning.So based on the data processing theories for GPS and computer technologies,the data pre-processing are researched mainly in this paper,via a statistics software-SPSS skillfully.And the new method that the gross error of measuring data is detected and eliminated is discussed.In addition,The Central Difference Filter(CDKF) as a new nonlinear filtering method is applied to the nonlinear state estimation of the vehicle navigation systems. Compared with the EKF method,the CDKF method not only improves the location precision and algorithm stability greatly,but also avoids the computing burden of Jacobian matrices.This data fusion algorithm based on CDKF is easy to realize,and meets the requirements of low-cost and high precision.Moreover CDKF compared to UKF has the superiority.The results of experimentation show that the CDKF is superior to the EKF,UKF and it is a more ideal nonlinear filtering method for the vehicle navigation.Finally,a vehicle simulation experiment is made,after the scheme about dynamic test of GPS is discussed,and practicality of the new kalman filter is verified, considering filtering comparison between DGPS and GPS of the uniform motion vehicle.Results of the simulation experiment and test show that the improved CDKF has not only better accuracy and stability,but higher practicality than traditional kalman filter.