Title
On the equivalence between likelihood ratio tests and counting rules in distributed detection with correlated sensors
Abstract
We have considered in this paper the conditions for the equivalence of the counting rule and the likelihood ratio test when implementing the fusion rule of decisions corresponding to identically operated correlated sensors. A simple model of correlation, defined by two correlation indices, one for every hypothesis, has been considered. A main conclusion is that for properly operating sensors, the counting rule is almost a UMP test in the correlation indices.
Year
DOI
Venue
2007
10.1016/j.sigpro.2007.01.023
Signal Processing
Keywords
Field
DocType
Distributed detection,Correlation,Counting rules,UMP test
Model matching,Likelihood-ratio test,Detection theory,Algorithm,Correlation,Equivalence (measure theory),Mathematics
Journal
Volume
Issue
ISSN
87
7
0165-1684
Citations 
PageRank 
References 
5
0.54
7
Authors
1
Name
Order
Citations
PageRank
Luis Vergara1243.05