|
|
|
| Nonparametric CFAR Detection Based on Fractional Moment Estimations |
| Li Jun Wang Xue-song Wang Tao |
| School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China |
|
|
|
|
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.
|
|
Received: 12 July 2010
|
|
|
|
Corresponding Authors:
Li Jun
E-mail: junliseu@gmail.com
|
|
|
|
|
|
|
2011, Vol. 33 
