@article{f5511f6331184f348ca2fee778799d8c,
title = "Further Results on Distributed Bayesian Signal Detection",
abstract = "The problem of distributed Bayesian signal detection is addressed. The problem is reformulated and a new design approach is presented that allows the use of efficient optimization algorithms.",
keywords = "Detection theory, data fusion, distributed detection, signal detection",
author = "Hashlamoun, {W. A.} and Varshney, {P. K.}",
note = "Funding Information: 11. PRELIMINARIES Let us consider a distributed detection system consisting of n local detectors and a fusion center. Here, we consider a simple binary hypothesis testing problem where hypothesis HO with a priori probability TO is tested against the alternative hypothesis H1 with a priori probability T I . The system receives n observations Y1, Yz,. . . , Y, where Y, denotes the observation received by local Manuscript received July 18, 1990; revised December 23, 1992. This work was supported by the Rome Air Development Center under Contract F30602-85-C-OOO8. W. A. Hashlamoun is with the Electrical Engineering Department, Birzeit University, Birzeit, P.O. Box 14, West Bank via Israel. P. K. Varshney is with the Department of Electrical and Computer Engineering, Syracuse University, Syracuse, NY 13244. IEEE Log Number 9210063.",
year = "1993",
month = sep,
doi = "10.1109/18.259651",
language = "English (US)",
volume = "39",
pages = "1660--1661",
journal = "IEEE Transactions on Information Theory",
issn = "0018-9448",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",
}