Nonparametric CFAR Detection Based on Fractional Moment Estimations

Li Jun; Wang  Xue-Song; Wang  Tao

doi:10.3724/SP.J.1146.2010.00733

Volume 33 Issue 3

Mar. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2011 > 33(3): 642-645

Li Jun, Wang Xue-Song, Wang Tao. Nonparametric CFAR Detection Based on Fractional Moment Estimations[J]. Journal of Electronics & Information Technology, 2011, 33(3): 642-645. doi: 10.3724/SP.J.1146.2010.00733

Citation:

Li Jun, Wang Xue-Song, Wang Tao. Nonparametric CFAR Detection Based on Fractional Moment Estimations[J]. Journal of Electronics & Information Technology, 2011, 33(3): 642-645. doi: 10.3724/SP.J.1146.2010.00733

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Nonparametric CFAR Detection Based on Fractional Moment Estimations

doi: 10.3724/SP.J.1146.2010.00733

Li Jun^{* 王雪松王涛
,},
Wang Xue-Song,
Wang Tao

Received Date: 2010-07-12
Rev Recd Date: 2010-10-16
Publish Date: 2011-03-19

Abstract

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.
- Radar,
- CFAR,
- Nonparametric detection,
- Fractional moment,
- Maximum entropy

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References(1)

References

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