Error exponents for decentralized detection in feedback architectures
Name
feedback_ICASSPv2-final.pdf
Size
94.75 KB
Format
Adobe PDF
Checksum (MD5)
d24542970c0950e1d47f62487ca7389a
Author(s)
Tay, Wee Peng
Tsitsiklis, John N.
Date Issued
May 2011
Journal
Proceedings of the 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
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.
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICASSP.2011.5946991
