Year: 1997
Type: article
Abstract: 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 an 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.
Source: Proceedings of the IEEE
DOI: 10.1109/5.554208
Authors: R. Viswanathan, P.K. Varshney
Institutions: Southern Illinois University Carbondale, Syracuse University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Office of Naval Research
Award: G8876996369
OpenAlex ID: W2115758294