DocumentCode
1190834
Title
Comments on "An aperiodic phenomenon of the extended Kalman filter in filtering noisy chaotic signals"
Author
Pantaleón, Carlos ; Souto, Antonio
Author_Institution
Naval Archit. Dept., Polytech. Univ. of Madrid, Spain
Volume
53
Issue
1
fYear
2005
Firstpage
383
Lastpage
384
Abstract
In the above paper, an aperiodic behavior of the Extended Kalman Filter (EKF) when filtering chaotic signals is reported. In this comment, we point out that this erratic behavior should be expected when filtering an aperiodic, time-varying signal. More interestingly, the convergence to a fixed point that is observed in some systems is due to the special form of the minimum Bayesian mean square error.
Keywords
Kalman filters; filtering theory; least mean squares methods; nonlinear filters; time-varying filters; extended Kalman filter; minimum Bayesian mean square error; noisy chaotic signal filtering; time-varying signal; Chaos; Chaotic communication; Computer graphics; Digital filters; Filtering; Interpolation; Quantization; Sampling methods; Signal generators; Signal processing algorithms; Chaotic signals; extended Kalman filter; piecewise-linear maps;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2004.837411
Filename
1369681
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