基于小波去噪的Kalman滤波可行性分析

lassic Kalman Filter is widely used in the deformation monitoring data processing, but there is an obviously shortage in the resistance in gross errors . Wavelet de-noise theory can reasonably dele the noise signal in a raw data. So, we can use its advantage into the Kalman Filter theory to make up for the shortage of CKF. This paper will objectively validate the feasibility of Kalman Filter based on Wavelet de-noise used in GPS deformation monitoring data analysis through the emulated data on GPS deformation monitoring.