Distributed detection with multiple sensors I. Fundamentals

Author

Viswanathan, Ramanarayanan ; Varshney, Pramod K.

Author_Institution

Dept. of Electr. Eng., Southern Illinois Univ., Carbondale, IL, USA

Volume

85

Issue

1

fYear

1997

fDate

1/1/1997 12:00:00 AM

Firstpage

54

Lastpage

63

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

Keywords

Bayes methods; computational complexity; computerised instrumentation; network topology; sensor fusion; signal detection; Bayes formulation; Neyman-Pearson criterion; computational complexity; conditionally independent sensor observations; detection networks; distributed detection; general topologies; likelihood ratio test; multiple sensors; optimal solutions; optimality; optimization; parallel and the serial architectures; serial architectures; Costs; Infrared detectors; Intelligent sensors; Network topology; Radar detection; Sensor fusion; Signal processing; Signal processing algorithms; Sonar detection; Testing;

fLanguage

English

Journal_Title

Proceedings of the IEEE

Publisher

ieee

ISSN

0018-9219

Type

jour

DOI

10.1109/5.554208

Filename

554208