混响背景下基于自动删除算法的恒虚警检测器
doi: 10.3724/SP.J.1146.2006.00376
A CFAR Detector Based on Automatic Censored Algorithm in the Presence of Reverberation
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摘要: 该文提出了一种混响背景下基于自动删除算法的恒虚警检测器。该方法可以自动删除参考单元中的干扰点，从而可以克服Barnard等人(2004)提出的方法所存在的缺点。推导了该检测器的平均虚警概率和平均检测概率。最后通过对仿真数据和试验数据的处理结果验证了该检测器的优越性。
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关键词:
- 自动删除算法;恒虚警;水下目标检测
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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