@article{686adadb268b4560907dddc0407d9191,
title = "Distributed Bayesian Signal Detection",
abstract = "The signal detection problem when distributed sensors are used and a global decision is desired is considered. Local decisions from the sensors are fed to a data fusion center which then yields a global decision based on a fusion rule. A Bayesian formulation of the problem is considered and a person-by-person optimization of the overall system is carried out. The special case of identical detectors with independent observations is considered as well. An illustrative example is also presented.",
author = "Hoballah, {Imad Y.} and Varshney, {Pramod K.}",
note = "Funding Information: Manuscript received December 5, 1986; revised April 28, 1988. This work was supported in part by the Rome Air Development Center under Contract F30601-81-C-0169. The material in this paper was partially presented at the 30th Midwest Symposium on Circuits and Systems, Syracuse, NY, August 1987. I. Y. Hoballah was with the Department of Electrical and Computer Engineering, Syracuse University, Syracuse, NY. He is now with AT&T Bell Laboratories, 480 Red Hill Road, Middletown, NJ 07748. P. K. Varshney is with the Department of Electrical and Computer Engineering, 111 Link Hall, Syracuse University, Syracuse, NY 13244-1240. IEEE Log Number 8930430.",
year = "1989",
month = sep,
doi = "10.1109/18.42208",
language = "English (US)",
volume = "35",
pages = "995--1000",
journal = "IEEE Transactions on Information Theory",
issn = "0018-9448",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",
}