Weighted order statistic and fuzzy rules CFAR detector for Weibull clutter

Authors:
Amir Zaimbashi;Mohammad Reza Taban;Mohammad Mehdi Nayebi;Yaser Norouzi
Affiliations:
Department of Electrical Engineering, Yazd University, Daneshgah Blvd., P.O. Box 89195-741, Yazd, Iran;Department of Electrical Engineering, Yazd University, Daneshgah Blvd., P.O. Box 89195-741, Yazd, Iran;Deparment of Electrical Engineering, Sharif University of Technology, Azadi Ave., P.O. Box 11365, Tehran, Iran;Deparment of Electrical Engineering, Sharif University of Technology, Azadi Ave., P.O. Box 11365, Tehran, Iran
Venue:
Signal Processing
Year:
2008

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Abstract

Order statistic (OS) CFAR processor is a powerful detector, but similar to many other CFAR detectors, suffers from clutter edge as well as interfering targets. To overcome these problems, two derivations of this detector have been developed. These are order statistic greatest of (OSGO) and order statistic smallest of (OSSO) CFAR processors. The cost, paid for this improvement, is a considerable decrease in detection probability for homogenous Weibull clutter. Furthermore, a substantial performance degradation of OSGO in interfering target (high target masking effect) and an excessive false alarm of OSSO in clutter edge, also, occur. This behavior is a result of non-soft rules used in these two detectors. This paper proposes a weighted order statistic and fuzzy rules-CFAR detector, which employs some soft rules based on fuzzy logic to cure the mentioned problems. Our simulation results demonstrate that considering realistic Weibull clutter, the proposed detector gives better detection probability than that of OSGO and OSSO detectors. Moreover, considering the problems of clutter edge and interfering target, the performance of the method is comparable to the best performance of the OSGO and OSSO detectors in different conditions.