Title :
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
fDate :
1/1/1997 12:00:00 AM
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;
Journal_Title :
Proceedings of the IEEE
