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Randomized fusion rules can be optimal in distributed Neyman-Pearson detectors

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2 Author(s)
Yong In Han ; Sch. of Electr. Eng., Seoul Nat. Univ., South Korea ; Kim, Taejeong

We show that randomized fusion rules can be locally optimal in distributed detection systems under the Neyman-Pearson criterion. This result is contrary to common belief. We first formulate conditions for a randomized fusion rule to be locally optimal. Then, we present distribution functions of local observations that satisfy these conditions

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Information Theory, IEEE Transactions on  (Volume:43 ,  Issue: 4 )