CFAR Detector Based on Goodness-of-Fit Tests

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概要

• 論文の詳細を見る

• 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.

• （社）電子情報通信学会の論文
• 2009-06-01

著者

• Pi Yiming

  University Of Electronic Science And Technology Of China

• DENG Xiaobo

  University of Electronic Science and Technology of China

• CAO Zhenglin

  Radar and Avionics Institute of China Aviation Industry Corporation I

• Cao Zhenglin

  Radar And Avionics Institute Of China Aviation Industry

関連論文

• CFAR Detector Based on Goodness-of-Fit Tests
• CFAR Detection of Extended Targets in SAR Images Based on Goodness-of-Fit Test

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