Title :
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
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;
Conference_Titel :
Radar, 1996. Proceedings., CIE International Conference of
Conference_Location :
Beijing
Print_ISBN :
0-7803-2914-7
DOI :
10.1109/ICR.1996.573783
