TY - JOUR
T1 - Distributed detection with multiple sensors
T2 - Part I - fundamentals
AU - Viswanathan, Ramanarayanan
AU - Varshney, Pramod K.
N1 - Funding Information:
Manuscript received March 12, 1996; revised October 8, 1996. This work was supported by BMDO/IST and managed by the Office of Naval Research under Contract N00014-94-1-0736 and by the Air Force Office of Scientific Research, Air Force Systems Command, Grant F49620-96-1-0185 and by Rome Laboratory, Air Force Materiel Command Grant F30602-95-1-0027.
PY - 1997
Y1 - 1997
N2 - In this paper, basic results on distributed detection are reviewed. In particular, we consider the parallel and the serial architectures in some detail and discuss the decision rules obtained from their optimization based on the Neyman-Pearson (NP) criterion and the Bayes formulation. For conditionally independent sensor observations, the optimality of the likelihood ratio test (LRT) at the sensors is established. General comments on several important issues are made including the computational complexity of obtaining the optimal solutions, the design of detection networks with more general topologies, and applications to different areas.
AB - In this paper, basic results on distributed detection are reviewed. In particular, we consider the parallel and the serial architectures in some detail and discuss the decision rules obtained from their optimization based on the Neyman-Pearson (NP) criterion and the Bayes formulation. For conditionally independent sensor observations, the optimality of the likelihood ratio test (LRT) at the sensors is established. General comments on several important issues are made including the computational complexity of obtaining the optimal solutions, the design of detection networks with more general topologies, and applications to different areas.
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U2 - 10.1109/5.554208
DO - 10.1109/5.554208
M3 - Article
AN - SCOPUS:0030735427
SN - 0018-9219
VL - 85
SP - 54
EP - 63
JO - Proceedings of the IEEE
JF - Proceedings of the IEEE
IS - 1
ER -