CFAR detection based on PDF estimation of clutter

Author

Jun, Li ; Xuesong, Wang ; Tao, Wang

Author_Institution

Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China

fYear

2010

fDate

6-8 Dec. 2010

Firstpage

1

Lastpage

4

Abstract

In this paper we propose a new CFAR (constant false alarm rate) detector whose detection threshold is calculated based on the PDF (probability density function) estimation of clutter. Two schemes for the proposed detector are introduced, which use the Padé approximation method and the maximum entropy (MaxEnt) method respectively to estimate the PDF of clutter. The two schemes are verified in Weibull clutter through simulation experiments, and the results show that, the proposed CFAR detector performs as well as the maximum likelihood (ML) CFAR detector in uniform Weibull clutter, and it can adapt to other types of clutter without changing the detector´s structure.

Keywords

Weibull distribution; approximation theory; clutter; maximum likelihood detection; Pade approximation method; Weibull clutter; constant false alarm rate; detection threshold; maximum entropy method; maximum likelihood CFAR detection; probability density function estimation; Clutter; Detectors; Educational institutions;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communication Systems (ISPACS), 2010 International Symposium on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-7369-4

Type

conf

DOI

10.1109/ISPACS.2010.5704634

Filename

5704634