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CFAR Detector Based on Goodness-of-Fit Tests

Xiaobo DENG, Yiming PI, Zhenglin CAO

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Summary :

This paper develops a complete architecture for constant false alarm rate (CFAR) detection based on a goodness-of-fit (GOF) test. This architecture begins with a logarithmic amplifier, which transforms the background distribution, whether Weibull or lognormal into a location-scale (LS) one, some relevant properties of which are exploited to ensure CFAR. A GOF test is adopted at last to decide whether the samples under test belong to the background or are abnormal given the background and so should be declared to be a target of interest. The performance of this new CFAR scheme is investigated both in homogeneous and multiple interfering targets environment.

Publication
IEICE TRANSACTIONS on Communications Vol.E92-B No.6 pp.2209-2217
Publication Date
2009/06/01
Publicized
Online ISSN
1745-1345
DOI
10.1587/transcom.E92.B.2209
Type of Manuscript
PAPER
Category
Sensing

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