NDLI: State estimation from space-time point process observations with an application in optical beam tracking

Content Provider	IEEE Xplore Digital Library
Author	Komaee, A.
Copyright Year	2010
Description	Author affiliation: Department of Aerospace Engineering, University of Maryland, College Park, 20742, USA (Komaee, A.)
Abstract	A stochastic model is considered which involves a linear system driven by Wiener process and the observations of a space-time point process whose intensity depends on the state of this linear system. It is shown that the problem of estimating the state of this continuous-time system can be reduced to estimating the state of a discrete-time linear stochastic system with a Gaussian process noise and a generally non-Gaussian measurement noise. Two types of estimators are developed for this discrete-time system: a linear minimum mean squared estimator and a nonlinear estimator based on the successive projection of the posterior density of the state vector on a Gaussian family of density functions. These discrete-time estimators are employed to determine two classes of estimators for the original continuous-time system. An application to optical beam tracking is presented.
Starting Page	1
Ending Page	6
File Size	1846407
Page Count	6
File Format	PDF
ISBN	9781424474165
e-ISBN	9781424474172
DOI	10.1109/CISS.2010.5464949
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Linear systems Stochastic systems Gaussian noise Noise reduction Gaussian processes Density functional theory Vectors Noise measurement State estimation Optical beams
Content Type	Text
Resource Type	Article

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