NDLI: Adaptive subspace detection of range distributed targets in compound-Gaussian clutter

Content Provider	IEEE Xplore Digital Library
Author	Yanfei Zhang Jian Guan
Copyright Year	2008
Description	Author affiliation: Dept. of Electron. & Inf. Eng., Naval Aeronaut. & Astronaut. Univ., Yantai (Yanfei Zhang; Jian Guan)
Abstract	This paper addresses adaptive high resolution radar detection of range-distributed target embedded in compound-Gaussian clutter modeled as a spherically invariant random process (SIRP). Echoes backscattered from range-distributed target are modeled as a subspace random signal by using multiple dominant scattering models. At the design stage we resort to the so-called two-step GLRT-based design procedure and assume that a set of secondary data is available. A sub-optimal adaptive detector for range-distributed target is devised. More over, the analytical closed-form expression for the probability of false alarm of the proposed detector is derived. The proposed adaptive detector ensures fully constant false alarm rate (CFAR) property in SIRP clutter. Performance of the proposed CFAR adaptive detector is assessed through Monte Carlo simulations and is shown to have better detection performance compared with existing similar detector.
Starting Page	1
Ending Page	6
File Size	1948268
Page Count	6
File Format	PDF
ISBN	9781424415380
ISSN	10975659
DOI	10.1109/RADAR.2008.4720880
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radar detection Detectors Radar scattering Electronic equipment testing Radar clutter Signal resolution Random processes Closed-form solution Extraterrestrial measurements Radar measurements High-resolution radar Constant false alarm rate (CFAR) Generalized likelihood ratio test (GLRT)
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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