Paper Info
Title
A new adaptive decentralized soft decision combining rule for distributed sensor systems with data fusion
Abstract
A new adaptive decentralized soft decision combining rule for multiple-sensor distributed detection systems with data fusion is proposed. Unlike previously published rules, the proposed combining rule fuses soft decisions of sensors rather than hard decisions of sensors and does not require the knowledge of the false alarm and detection probabilities of the distributed sensors. Such a fusion rule is adaptive, insensitive to the instabilities of the sensor thresholds, and has the advantage of soft decision fusion. The proposed combination rule is derived: (1) for the case where the fusion center estimates the error probabilities of the sensors and (2) for the case where the fusion center does not estimate the error probabilities of the sensors. The performance of the proposed approach is evaluated, and illustrative examples are presented in the cases of Gaussian and Rayleigh distributed observations. Comparisons with the optimum centralized fusion, the optimum soft decision fusion, a soft decision fusion approach based on fusing confidence levels, and the optimum decentralized hard decision fusion are also presented. The results indicate that the proposed approach significantly outperforms the optimum decentralized hard decision fusion, is better than the approach based on fusing confidence levels, and has a performance similar to that of the optimum soft decision fusion.
Year
DOI
Venue
2014
10.1016/j.ins.2013.09.031
Inf. Sci.
Keywords
Field
DocType
data fusion,fusion center,adaptive decentralized soft decision,optimum decentralized hard decision,error probability,sensor system,optimum centralized fusion,fusion rule,optimum soft decision fusion,soft decision fusion approach,soft decision fusion
Data mining,False alarm,Decision fusion,Fusion,Sensor fusion,Gaussian,Fusion center,Artificial intelligence,Fuse (electrical),Mathematics,Machine learning
Journal
Volume
ISSN
Citations 
256,
0020-0255
7
PageRank 
References 
Authors
0.50
48
1
Name
Order
Citations
PageRank
Ashraf M. Aziz1988.72