A new CFAR detector based on ordered statistics and cell averaging

Author

You, He ; Jian, Guan ; Yingning, Peng ; Dajin, Lu

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

fYear

1996

fDate

8-10 Oct 1996

Firstpage

106

Lastpage

108

Abstract

This paper presents a new CFAR detector based on ordered statistics and cell averaging, as well as the automatic censoring technique. It is known as “mean of order statistics and cell averaging” (MOSCA) processor. For this new CFAR detector we obtain analytic expressions of the false alarm rate, the detection probabilities and measure average decision threshold (ADT) under the Swerling II assumption. Its detection performance is analyzed in homogeneous background and in the presence of strong interfering targets, and we compare it with CA and OS CFARs. The analysis shows that performance of the MOSCA-CFAR detector is between the CA and OS CFAR processor in homogeneous background. In multiple target situations the MOSCA-CFAR detector is much better than the OS-CFAR detector

Keywords

higher order statistics; probability; radar clutter; radar detection; radar signal processing; CFAR detector; MOSCA processor; MOSCA-CFAR; Swerling II assumption; automatic censoring technique; average decision threshold; cell averaging; detection probability; false alarm rate; homogeneous background; multiple target situations; ordered statistics; radar clutter; strong interfering target; Distribution functions; Envelope detectors; Gaussian noise; Newton method; Random variables; Signal to noise ratio; Statistical distributions; Statistics; Testing; Virtual manufacturing;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 1996. Proceedings., CIE International Conference of

Conference_Location

Beijing

Print_ISBN

0-7803-2914-7

Type

conf

DOI

10.1109/ICR.1996.573783

Filename

573783