Wavelet Daubechies 4 Based Data Fusion Estimation Algorithm
Che Jin-rui · Yibiao jishu yu chuanganqi · 2004
By using Daubechies 4 wavelet,decomposed the state equation given in the finest scale,and achieved a new multiscale stochastic dynamic model in every coarse scales.Presented a new mulsticale recursive data fusion estimation algorithm and in the finest scale achieved the ideal state estimation based on the global measurement information.Proved the validity of the algorithm through strict reasoning and showed its effectiveness through computer simulations.Enriched the multisensor data fusion theory and the Kalman filter theory and application.