TY - JOUR
T1 - Order statistics CFAR for Weibull background
AU - Levanon, N.
AU - Shor, M.
PY - 1990/6
Y1 - 1990/6
N2 - The paper shows how to adopt Rohling's order statistics CFAR algorithm, developed for a Rayleigh background, to the case of a Weibull background with a known shape parameter. When the shape parameter is unknown, Weber and Haykin have proposed a two-parameter algorithm in which the threshold is obtained from two ranked background samples. In the paper the CFAR loss of the Weber-Haykin CFAR algorithm is analysed and compared with another CFAR processor for Weibull clutter suggested by Hansen. It is found that, with the optimal choice of representative ranks, the Weber-Haykin CFAR processor yields a smaller, but still very excessive, detection loss. Finally it is shown that CFAR is maintained when more than two ranked samples are used in setting the threshold, but without improvement in performance.
AB - The paper shows how to adopt Rohling's order statistics CFAR algorithm, developed for a Rayleigh background, to the case of a Weibull background with a known shape parameter. When the shape parameter is unknown, Weber and Haykin have proposed a two-parameter algorithm in which the threshold is obtained from two ranked background samples. In the paper the CFAR loss of the Weber-Haykin CFAR algorithm is analysed and compared with another CFAR processor for Weibull clutter suggested by Hansen. It is found that, with the optimal choice of representative ranks, the Weber-Haykin CFAR processor yields a smaller, but still very excessive, detection loss. Finally it is shown that CFAR is maintained when more than two ranked samples are used in setting the threshold, but without improvement in performance.
UR - http://www.scopus.com/inward/record.url?scp=0025449477&partnerID=8YFLogxK
M3 - מאמר
AN - SCOPUS:0025449477
VL - 137
SP - 157
EP - 162
JO - IEE Proceedings, Part F: Communications, Radar and Signal Processing
JF - IEE Proceedings, Part F: Communications, Radar and Signal Processing
SN - 0143-7070
IS - 3
ER -