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
-
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.
-
Key words:
- Radar /
- CFAR /
- Nonparametric detection /
- Fractional moment /
- Maximum entropy
-
Erfanian S and Vakili V T. Introducing excision switching- CFAR in K distributed sea clutter[J].Signal Processing.2009, 89(6):1023-1031[5]胡文琳, 王永良, 王首勇. Log-normal分布杂波背景下有序统计恒虚警检测器性能分析[J].电子与信息学报.2007, 29(3):517-520浏览[9]Amindavar H and Ritcey J A. Pad approximations of probability density functions[J].IEEE Transactions on Aerospace and Electronic Systems.1994, 30(2):416-424[10]Cover T M and Thomas J A. Elements of Information Theory[M]. 2 ed. Hoboken.[J].New Jersey: John Wiley Sons, Inc.2006,:-[11]Wasserman L著, 吴喜之译. 现代非参数统计[M]. 北京: 科学出版社, 2008, 第6章.[12]Inverardi P N, Petri A, and Pontuale G, et al. Stieltjes moment problem via fractional moments[J].Applied Mathematics and Computation.2005, 166(3):664-677[13]Gzyl H and Tagliani A. Hausdorff moment problem and fractional moments[J].Applied Mathematics and Computation.2010, 216(11):3319-3328[14]Deng J and Pandey M D. Estimation of minimum cross- entropy quantile function using fractional probability weighted moments[J].Probabilistic Engineering Mechanics.2009, 24(1):43-50 -
计量
- 文章访问数: 3587
- HTML全文浏览量: 127
- PDF下载量: 765
- 被引次数: 0
下载:
