NDLI: Estimating instantaneous false alarm rate in a CFAR system by Bayesian and empirical Bayesian methods

Content Provider	IEEE Xplore Digital Library
Author	Stakkeland, M. Li, X.R.
Copyright Year	2007
Description	Author affiliation: UniK Univ. Graduate Center, Kjeller (Stakkeland, M.)
Abstract	In this paper it is shown that the instantaneous false alarm rate in a constant false alarm Rate (CFAR) system fluctuates from scan to scan and that Bayesian and Empirical Bayesian estimators can be applied to decrease the error between the actual and the assumed false alarm rate. The instantaneous false alarm rate is a random variable and its probability density function is derived for different system configurations. Bayesian estimators are applied in cases where analytical expressions of the mean and variance of the instantaneous false alarm rate can be derived. The mean square error in the estimated false alarm rate is shown to be less than the mean square variations of the instantaneous false alarm rate. Empirical Bayesian estimators are introduced and applied to cases where statistical properties of the false alarm rate are unknown. Empirical Bayesian estimators rely on past data to estimate the current false alarm rate and it is shown that they will converge asymptotically to the equivalent Bayesian estimators as the amount of past data gets large.
Starting Page	314
Ending Page	319
File Size	551518
Page Count	6
File Format	PDF
ISBN	1424402832
ISSN	10975659
DOI	10.1109/RADAR.2007.374234
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bayesian methods Clutter Radar tracking Target tracking Radar signal processing Random variables Probability density function Radar measurements Testing Signal processing algorithms
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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