CFAR Detection from Noncoherent Radar Echoes Using Bayesian Theory

CFAR Detection from Noncoherent Radar Echoes Using Bayesian Theory

<p>Abstract</p> <p>We propose a new constant false alarm rate (CFAR) detection method from noncoherent radar echoes, considering heterogeneous sea clutter. It applies the Bayesian theory for adaptive estimation of the local clutter statistical distribution in the cell under test. T...

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Main Authors: Yamaguchi Hiroyuki, Suganuma Wataru
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://asp.eurasipjournals.com/content/2010/969751
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spelling doaj-dc2d6dd221ae42cf97e80cc636e131572020-11-25T00:15:21ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802010-01-0120101969751CFAR Detection from Noncoherent Radar Echoes Using Bayesian TheoryYamaguchi HiroyukiSuganuma Wataru<p>Abstract</p> <p>We propose a new constant false alarm rate (CFAR) detection method from noncoherent radar echoes, considering heterogeneous sea clutter. It applies the Bayesian theory for adaptive estimation of the local clutter statistical distribution in the cell under test. The detection technique can be readily implemented in existing noncoherent marine radar systems, which makes it particularly attractive for economical CFAR detection systems. Monte Carlo simulations were used to investigate the detection performance and demonstrated that the proposed technique provides a higher probability of detection than conventional techniques, such as cell averaging CFAR (CA-CFAR), especially with a small number of reference cells.</p>http://asp.eurasipjournals.com/content/2010/969751
collection DOAJ
language English
format Article
sources DOAJ
author Yamaguchi Hiroyuki
Suganuma Wataru
spellingShingle Yamaguchi Hiroyuki
Suganuma Wataru
CFAR Detection from Noncoherent Radar Echoes Using Bayesian Theory
EURASIP Journal on Advances in Signal Processing
author_facet Yamaguchi Hiroyuki
Suganuma Wataru
author_sort Yamaguchi Hiroyuki
title CFAR Detection from Noncoherent Radar Echoes Using Bayesian Theory
title_short CFAR Detection from Noncoherent Radar Echoes Using Bayesian Theory
title_full CFAR Detection from Noncoherent Radar Echoes Using Bayesian Theory
title_fullStr CFAR Detection from Noncoherent Radar Echoes Using Bayesian Theory
title_full_unstemmed CFAR Detection from Noncoherent Radar Echoes Using Bayesian Theory
title_sort cfar detection from noncoherent radar echoes using bayesian theory
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2010-01-01
description <p>Abstract</p> <p>We propose a new constant false alarm rate (CFAR) detection method from noncoherent radar echoes, considering heterogeneous sea clutter. It applies the Bayesian theory for adaptive estimation of the local clutter statistical distribution in the cell under test. The detection technique can be readily implemented in existing noncoherent marine radar systems, which makes it particularly attractive for economical CFAR detection systems. Monte Carlo simulations were used to investigate the detection performance and demonstrated that the proposed technique provides a higher probability of detection than conventional techniques, such as cell averaging CFAR (CA-CFAR), especially with a small number of reference cells.</p>
url http://asp.eurasipjournals.com/content/2010/969751
work_keys_str_mv AT yamaguchihiroyuki cfardetectionfromnoncoherentradarechoesusingbayesiantheory
AT suganumawataru cfardetectionfromnoncoherentradarechoesusingbayesiantheory
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