Transcale fusion and estimation of 2-D multisensor dynamic systems

Author

Lin, Zhao ; Yingmin, Jia ; Junping, Du ; Jun, Zhang

Author_Institution

Seventh Res. Div. & the Dept. of Syst. & Control, Beihang Univ. (BUAA), Beijing, China

fYear

2012

fDate

25-27 July 2012

Firstpage

3623

Lastpage

3628

Abstract

This paper presents a transcale data fusion scheme for a class of discrete two-dimensional (2-D) dynamic systems, which are measured by several different-scale sensors. The 2-D Haar wavelet transform is used to link the state notes at each of the scales within a 2-D time block and the standard 2-D state space model of the dynamic systems is established. This model satisfies the requirements of the 2-D Kalman filtering, which offers an optimal estimation algorithm for the 2-D dynamic systems. An example is included to illustrate the obtained results.

Keywords

Haar transforms; Kalman filters; multidimensional systems; sensor fusion; state-space methods; wavelet transforms; 2D Haar wavelet transform; 2D Kalman filtering; 2D multisensor dynamic system estimation; 2D time block; different-scale sensors; discrete two-dimensional dynamic systems; standard 2D state space model; transcale data fusion; Estimation; Heuristic algorithms; Kalman filters; Mathematical model; Sensor systems; Standards; 2-D Systems; 2-D Wavelet Transform; Kalman Filtering; Multisensor Systems; Transcale Data Fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2012 31st Chinese

Conference_Location

Hefei

ISSN

1934-1768

Print_ISBN

978-1-4673-2581-3

Type

conf

Filename

6390552