Distributed Detection for Multisensor Correlated Data
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Abstract
A new method of distributed detection is presented where data from multisensor are correlated. Orthogonal transformation is adopted for the de correlation of data, so a simple likelihood ratio method can be used. The paper also proves the probability of transformation in theory and presents the transform matrix. Two kinds of models in simulation show the effect of the method in distributed detection systems.
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