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Proceedings Paper

Analysis of the fuzzy greatest of CFAR detector in homogeneous and non-homogeneous Weibull clutter title
Author(s): Mohamed Baadeche; Faouzi Soltani
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Paper Abstract

In this paper, we analyze the distributed FGO-CFAR detector in homogeneous and Non-Homogeneous Weibull clutter with an assumption of known shape parameter. The non-homogeneity is modeled by the presence of a clutter edge in the reference window. We derive membership function which maps the observations to the false alarm space and compute the threshold at the data fusion center. Applying the ‘Maximum’, ‘Minimum’, ‘Algebraic Sum’ and ‘Algebraic Product’ fuzzy rules for L detectors considered at the data fusion center, the obtained results showed that the best performance is obtained by the ‘Algebraic Product’ fuzzy rule followed by the ‘Minimum’ one and in these two cases the probability of detection increases significantly with the number of detectors.

Paper Details

Date Published: 8 December 2015
PDF: 7 pages
Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98751X (8 December 2015); doi: 10.1117/12.2228754
Show Author Affiliations
Mohamed Baadeche, Univ. des Frères Mentouri Constantine (Algeria)
Faouzi Soltani, Univ. des Frères Mentouri Constantine (Algeria)


Published in SPIE Proceedings Vol. 9875:
Eighth International Conference on Machine Vision (ICMV 2015)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev, Editor(s)

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