Technical Program

Paper Detail

Paper:SPTM-P10.1
Session:Multirate Systems and Denoising
Time:Thursday, May 20, 15:30 - 17:30
Presentation: Poster
Topic: Signal Processing Theory and Methods: Multi-rate Signal Processing & Wavelets
Title: MODELING AND ESTIMATION OF A CLASS OF DYNAMIC MULTISCALE SYSTEM SUBJECT TO COLORED NOISE
Authors: Peiling Cui; Northwestern Polytechnical University 
 Quan Pan; Northwestern Polytechnical University 
 Hongcai Zhang; Northwestern Polytechnical University 
 Junhong Li; Northwestern Polytechnical University 
Abstract: In this paper, modeling and estimation of a class of dynamic multiscale system subject to colored state equation noise and measurement equation noise is proposed. The state equation is whitened firstly and then the measurement equation. The state space projection equation is used to link the scales, then a new system model is built. The new model is in a form suitable for the application of the Kalman filter equations. Haar-wavelet-based model and estimation algorithm are given. Monte Carlo simulation results demonstrate that the proposed algorithm is effective and powerful in this kind of multiscale estimation problem.
 
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