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11

ICASSP
2011
IEEE

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Error exponents for decentralized detection in feedback architectures

12 years 8 months ago

Error exponents for decentralized detection in feedback architectures

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We consider the decentralized Bayesian binary hypothesis testing problem in feedback architectures, in which the fusion center broadcasts information based on the messages of some sensors to some or all sensors in the network. We show that the asymptotically optimal detection performance (as quantiﬁed by error exponents) does not beneﬁt from the feedback messages. In addition, we determine the corresponding optimal error exponents.

Wee-Peng Tay, John N. Tsitsiklis

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Bayesian Binary Hypothesis | Error Exponents | ICASSP 2011 | Optimal Error Exponents | Signal Processing |

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Added	20 Aug 2011
Updated	20 Aug 2011
Type	Journal
Year	2011
Where	ICASSP
Authors	Wee-Peng Tay, John N. Tsitsiklis

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