A New GPS Dynamic Filter Algorithm Based on Stationary Wavelet Transformation
Through analyzing the properties of vehicle GPS navigation system signal’s observation gross error and random noise, this paper presents a new dynamic filter algorithm, which based on stationary wavelet transformation (SWT). Firstly, the algorithm decomposes the vehicle GPS navigation signal with stationary wavelet function. Then, the algorithm detects, eliminates and corrects the signal’s observation gross error at different resolution levels with statistic theory, and the signal’s random noise is de-noised at different resolution levels with improved soft-threshold de-noising method. Finally, the algorithm provides precise positioning information for the vehicle GPS navigation system through reconstructing the de-noised SWT coefficients. The simulation result shows that the algorithm is better than Kalman filter, and is available for the vehicle GPS navigation system.