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A CFAR Detector Based on Automatic Censored Algorithm in the Presence of Reverberation |
Xu Jiang-hu; Zhang Ming-min; Hu Jin-hua |
Electronics Engineering College, Naval Univ. of Engineering, Wuhan 430033, China |
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Abstract A Constant False Alarm Rate (CFAR) detector based on automatic censored algorithm in presence of reverberation is proposed in the paper. It automatically censors the interfering points in reference cells, so the limitation of method proposed by Barnard et al. (2004) can be overcomed. The analytic expressions of average false alarm and average detection probabilities are derived for the detector. Its superior performance is justified by processing of the simulation data and experimental data.
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Received: 28 March 2006
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