Ricardo Torres-Lopez

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We consider the problem of binary distributed detection when the target position is unknown in the context of large-scale, dense sensor networks. We propose to divide the area where the target could be present into smaller ones, performing a log-likelihood ratio fusion rule in each one. We derive the Bayesian and NP fusion rules under using a model of(More)
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