Error exponents for decentralized detection in feedback architectures

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 quantif...

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Main Authors: Tay, Wee Peng, Tsitsiklis, John N.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2013
Online Access:http://hdl.handle.net/1721.1/79644
https://orcid.org/0000-0003-2658-8239
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author Tay, Wee Peng
Tsitsiklis, John N.
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Tay, Wee Peng
Tsitsiklis, John N.
author_sort Tay, Wee Peng
collection MIT
description 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.
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spelling mit-1721.1/796442022-10-01T03:59:58Z Error exponents for decentralized detection in feedback architectures Tay, Wee Peng Tsitsiklis, John N. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Tsitsiklis, John N. 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. National Science Foundation (U.S.) (Grant ECCS-0701623) 2013-07-22T15:45:14Z 2013-07-22T15:45:14Z 2011-05 Article http://purl.org/eprint/type/ConferencePaper 978-1-4577-0538-0 978-1-4577-0537-3 1520-6149 http://hdl.handle.net/1721.1/79644 Tay, Wee Peng, and John N. Tsitsiklis. Error Exponents for Decentralized Detection in Feedback Architectures. In 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2496-2499. Institute of Electrical and Electronics Engineers, 2011. https://orcid.org/0000-0003-2658-8239 en_US http://dx.doi.org/10.1109/ICASSP.2011.5946991 Proceedings of the 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Tsitsiklis via Amy Stout
spellingShingle Tay, Wee Peng
Tsitsiklis, John N.
Error exponents for decentralized detection in feedback architectures
title Error exponents for decentralized detection in feedback architectures
title_full Error exponents for decentralized detection in feedback architectures
title_fullStr Error exponents for decentralized detection in feedback architectures
title_full_unstemmed Error exponents for decentralized detection in feedback architectures
title_short Error exponents for decentralized detection in feedback architectures
title_sort error exponents for decentralized detection in feedback architectures
url http://hdl.handle.net/1721.1/79644
https://orcid.org/0000-0003-2658-8239
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