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A fake algebraic Riccati technique for tracking superimposed signals

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 11 Nov 2002Publisher:IEEEJournal:Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), volume 4, pages 3,887-3,890
Authors: Garry A. Einicke; Langford B. White; Robert R. Bitmead;

doi: 10.1109/cdc.2000.912319

A fake algebraic Riccati technique for tracking superimposed signals

Abstract

This paper describes an adaptive nonlinear filter for tracking superimposed signals. The filter gain is selected via a fake algebraic Riccati equation. A passivity approach is applied to deduce stability conditions for the filter error system. The performance is compared with an extended Kalman filter for tracking multiple frequency modulated signals.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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