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.
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Xiaobo DENG, Yiming PI, Zhenglin CAO, "CFAR Detector Based on Goodness-of-Fit Tests" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 6, pp. 2209-2217, June 2009, doi: 10.1587/transcom.E92.B.2209.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.2209/_p
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@ARTICLE{e92-b_6_2209,
author={Xiaobo DENG, Yiming PI, Zhenglin CAO, },
journal={IEICE TRANSACTIONS on Communications},
title={CFAR Detector Based on Goodness-of-Fit Tests},
year={2009},
volume={E92-B},
number={6},
pages={2209-2217},
abstract={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.},
keywords={},
doi={10.1587/transcom.E92.B.2209},
ISSN={1745-1345},
month={June},}
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TY - JOUR
TI - CFAR Detector Based on Goodness-of-Fit Tests
T2 - IEICE TRANSACTIONS on Communications
SP - 2209
EP - 2217
AU - Xiaobo DENG
AU - Yiming PI
AU - Zhenglin CAO
PY - 2009
DO - 10.1587/transcom.E92.B.2209
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2009
AB - 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.
ER -