基于分数阶矩估计的非参量CFAR检测
doi: 10.3724/SP.J.1146.2010.00733
Nonparametric CFAR Detection Based on Fractional Moment Estimations
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摘要: 该文针对杂波背景中的CFAR(恒虚警率)检测问题，提出了一种新的CFAR检测器Blind-CFAR检测器。该检测器通过估计杂波的分数阶矩，获得杂波的最大熵概率密度函数估计，进而确定CFAR检测门限。以Weibull杂波为例，仿真验证了Blind-CFAR检测器的有效性。由于采用了非参数估计方法，Blind-CFAR检测器具有结构简单、通用性好等优点，并可应用于未知杂波背景中的目标检测。Abstract: For the problem of CFAR (Constant False Alarm Rate) detection in clutter, a new detector, i.e., the Blind-CFAR detector is proposed. The Blind-CFAR detector calculates its detection threshold through the PDF (Probability Density Function) estimation of clutter, which is based on the fractional moment estimations of clutter and the maximum entropy method. The Blind-CFAR detector is verified in Weibull clutter through simulation experiments. By employing nonparametric estimation methods, the Blind-CFAR detector has advantages of a simple structure, a good universality, etc. Furthermore, it can be applied to target detection in unknown clutter.
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Key words:
- Radar /
- CFAR /
- Nonparametric detection /
- Fractional moment /
- Maximum entropy
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