DocumentCode
1896695
Title
An extended Kalman filter for parallel-cascade truncated Volterra systems
Author
Panicker, Thomas M. ; Mathews, V.John
Author_Institution
Network Access Div., Rockwell Semicond. Syst., San Diego, CA, USA
Volume
1
fYear
1997
fDate
2-5 Nov. 1997
Firstpage
18
Abstract
This paper presents an extended Kalman filter for truncated Volterra systems that employ parallel-cascade structures. Parallel-cascade realizations implement higher-order Volterra systems as parallel connections of multiplicative combinations of lower-order systems. A computationally efficient variation of the extended Kalman filter obtained by employing a block diagonal approximation of the covariance matrix of the state error vector is also presented in this paper. Experimental comparisons demonstrating relatively small performance degradation for the approximate system over the extended Kalman filter are also included in the paper. Experiments that demonstrate the approximation capabilities of the extended Kalman filter are also included.
Keywords
Kalman filters; approximation theory; cascade networks; covariance matrices; digital filters; nonlinear filters; approximation capabilities; block diagonal approximation; computationally efficient variation; covariance matrix; extended Kalman filter; higher-order Volterra systems; lower-order systems; multiplicative combinations; parallel-cascade truncated Volterra systems; performance degradation; state error vector; Adaptive filters; Convergence; Covariance matrix; Degradation; Equations; Kernel; Least squares approximation; Matrix decomposition; Nonlinear systems; Resonance light scattering;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-8186-8316-3
Type
conf
DOI
10.1109/ACSSC.1997.680022
Filename
680022
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