The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
이 문서에서는 GOF(적합도) 테스트를 기반으로 CFAR(Constant False Alarm Rate) 감지를 위한 완전한 아키텍처를 개발합니다. 이 아키텍처는 Weibull이든 로그 정규이든 배경 분포를 위치 척도(LS) 분포로 변환하는 로그 증폭기로 시작됩니다. 이 분포의 일부 관련 속성은 CFAR을 보장하기 위해 활용됩니다. 테스트 중인 샘플이 배경에 속하는지 또는 배경을 고려할 때 비정상적인지 여부를 결정하기 위해 최종적으로 GOF 테스트가 채택되므로 관심 대상으로 선언해야 합니다. 이 새로운 CFAR 방식의 성능은 동종 및 다중 간섭 대상 환경 모두에서 조사되었습니다.
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부
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
부
@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},}
부
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 -