NDLI: PEOD: Pade estimated optimum (radar) detector

Content Provider	IEEE Xplore Digital Library
Author	Jay, E. Ovarlez, J.P. Declerq, D. Duvaut, P.
Copyright Year	2001
Description	Author affiliation: ENSEA, UCP-ETIS, Cergy Pontoise, France (Jay, E.)
Abstract	An expression for the optimum non-Gaussian radar detector is derived from the non-Gaussian SIRP model (spherically invariant random process) clutter and a Pade approximation of the characteristic function of the SIRP. The SIRP model is used to perform coherent detection and to modelize the non-Gaussian clutter as a complex Gaussian process whose variance is itself a positive random variable (r.v.). The probability density function (PDF) of the variance characterizes the statistics of the STEP and after performing a Pade approximation of this PDF from reference clutter cells we derive the so-railed Pade estimated optimum (radar) detector (PEOD) without any knowledge about the statistics of the clutter. We evaluate PEOD performance for an unknown target signal embedded in K-distributed clutter and compare it with optimum detector performance (optimum in particular clutter statistics such as Optimum K Detector - OKD - in K-distributed clutter).
Sponsorship	IEEE Atlanta Sect.
Starting Page	270
Ending Page	274
File Size	374509
Page Count	5
File Format	PDF
ISBN	0780367073
DOI	10.1109/NRC.2001.922989
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-05-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radar detection Clutter Detectors Probability Statistics Testing Light rail systems Random processes Gaussian processes Random variables
Content Type	Text
Resource Type	Article

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