DocumentCode
2036962
Title
Distributed ODV-CFAR Detection Based on Fuzzy Logic
Author
Hao, Chengpeng ; Cai, Long ; Chen, Mojiang
Author_Institution
Inst. of Acoust., Chinese Acad. of Sci., Beijing
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
4
Abstract
A new type of distributed constant false alarm rate(CFAR) scheme based on fuzzy logic and Ordered Data Variability CFAR(ODV-CFAR) algorithm is proposed in this paper. In this scheme, each ODV-CFAR detector computes the membership function value mapping to the false alarm space from the samples of reference cells, and transmits it to the fusion center. These values are combined according to fuzzy fusion rules to produce a global membership function to the false alarm space. Simulation results indicate that the fuzzy fusion rule corresponding to the algebraic product operator provides better detection results than binary OR fusion and binary AND fusion.
Keywords
fuzzy logic; signal detection; ODV-CFAR detection; constant false alarm rate scheme; fuzzy fusion rules; fuzzy logic; membership function; ordered data variability; Acoustic signal detection; Clutter; Detectors; Fuzzy logic; Fuzzy systems; Radar detection; Sensor systems; Sonar detection; Statistics; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-3893-8
Electronic_ISBN
978-1-4244-3894-5
Type
conf
DOI
10.1109/IWISA.2009.5072836
Filename
5072836
Link To Document