Moving ordered statistics CFAR detection for nonhomogeneous backgrounds

Author

Cho, C.-M. ; Barkat, M.

Author_Institution

Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY, USA

Volume

140

Issue

5

fYear

1993

fDate

10/1/1993 12:00:00 AM

Firstpage

284

Lastpage

290

Abstract

A new robust order statistic-based CFAR scheme, the moving ordered statistics (MOS) CFAR detector, is proposed. The MOS-CFAR detector effectively estimates the noise level in nonhomogeneous backgrounds by using the spatial subspace concept and the order statistics estimation method. Like the OS-CFAR detector, the MOS-CFAR processor selects one of the reference cells as the estimate of the background noise power. However, the rank of the selected sample is a variable and varies depending on the different background noise distributions in the reference cells. The detection performances of the MOS-CFAR processor is investigated and compared with other well known CFAR detectors by means of simulations. The results show that the proposed MOS-CFAR detector is superior to the other schemes in regulating the false alarm rate in nonhomogeneous backgrounds

Keywords

radar interference; radar theory; signal detection; statistical analysis; CFAR detection; MOS-CFAR processor; background noise power; constant false alarm rate; moving ordered statistics; noise level estimation; nonhomogeneous backgrounds; order statistics estimation method; radar signal detection; reference cells; spatial subspace concept;

fLanguage

English

Journal_Title

Radar and Signal Processing, IEE Proceedings F

Publisher

iet

ISSN

0956-375X

Type

jour

Filename

238222