DocumentCode :
482096
Title :
Binary and fuzzy distributed CFAR detectors
Author :
Zaimbashi, Amir ; Saraf, Mohammad Reza Akhavan ; MirMohamad-Sadeghi, Hamid
Author_Institution :
Inf. & Commun. Technol. Inst., Isfahan Univ. of Technol., Isfahan
fYear :
2008
fDate :
30-31 Oct. 2008
Firstpage :
384
Lastpage :
387
Abstract :
In this paper, two types of distributed constant false alarm rate (CFAR) detectors; binary and fuzzy distributed detectors, are introduced. In these two types of distributed detectors, it was assumed that the clutter parameters at the local sensors are unknown and each local detector performs CFAR processing based on maximum likelihood (ML) and order statistic (OS) CFAR processor before transmitting data to the fusion center. At the fusion center, received data are weighted by a binary or a fuzzy weighting function, and combined according to deterministic rules, constructing global test statistics. In the binary and fuzzy types, we consider the various distributed detectors based on binary and fuzzy rules used in fusion center and CFAR detector used in local detectors. The performance of the two types of distributed detectors are analysed and compared with each other. The simulation results indicate the superiority and robust performance of fuzzy type in homogenous and non-homogenous situations.
Keywords :
clutter; fuzzy set theory; maximum likelihood detection; sensor fusion; statistical testing; CFAR; binary distributed constant false alarm rate detector; clutter parameter; fuzzy distributed constant false alarm rate detector; global test statistics; maximum likelihood detection; order statistics; sensor fusion; Clutter; Communications technology; Detectors; Maximum likelihood detection; Radar detection; Sensor fusion; Shape; Statistical analysis; Statistical distributions; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2008. EuRAD 2008. European
Conference_Location :
Amsterdam
Print_ISBN :
978-2-87487-009-5
Type :
conf
Filename :
4760882
Link To Document :
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