Z. Chair and P.R. Varshney (1986) solved the data fusion problem for fixed binary local detectors with statistically independent decisions. Their solution is generalized by using the Bahadur-Lazarsfeld expansion of probability density functions. The optimal data fusion rule is developed for correlation local binary decisions, in terms of the conditional correlation coefficients of all orders. It is shown that when all these coefficients are zero, the rule coincides with the original Chair-Varshney design.<>
Optimal data fusion of correlated local decisions in multiple sensor detection systems
IEEE Transactions on Aerospace and Electronic Systems ; 28 , 3 ; 916-920
1992-07-01
325597 byte
Article (Journal)
Electronic Resource
English
Optimum multisensor fusion of correlated local decisions
IEEE | 1991
|Optimal Data Fusion in Multiple Sensor Detection Systems
IEEE | 1986
|Copula-Based Fusion of Correlated Decisions
IEEE | 2011
|Optimal Decision Fusion in Multiple Sensor Systems
IEEE | 1987
|Optimum Distributed Detection Fusion Algorithm for Correlated Sensor Observations
British Library Online Contents | 2008
|