Fusion and Estimation of Dynamic Multiscale System Based on M-Band Wavelet
Peiling Cui · Acta Automatica Sinica · 2007
In this paper, the fusion and estimation algorithm of a class of dynamic multiscale systems is investigated. This system is subject to the known dynamic system model, and is measured by multiple sensors with difierent sampling rates. The sampling rates decrease by a factor of M(M > 2). M-band wavelet is used to approximate the projection relationship between the scale spaces, and system model that satisfles Kalman fllter condition is built. After performing Kalman fllter, the optimal state estimation can be obtained. Simulation results are given to obtain insight into the efiectiveness of our method.