Decentralized sequential detection with a fusion center performing the sequential test

1993/03/01 by V.V. Veeravalli, Venugopal V. Veeravalli, Tamer Başar +3 · 6 citations
Computer Science · Decision Sciences · #Distributed Sensor Networks and Detection Algorithms #Target Tracking and Data Fusion in Sensor Networks #Advanced Statistical Process Monitoring

paper · doi:10.1109/18.212274

Abstract

A decentralized sequential detection problem is considered in which each one of a set of sensors receives a sequence of observations about the hypothesis. Each sensor sends a sequence of summary messages to the fusion center where a sequential test is carried out to determine the true hypothesis. A Bayesian framework for this problem is introduced, and for the case when the information structure in the system is quasi-classical, it is shown that the problem is tractable. A detailed analysis of this case is presented, along with some numerical results.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Citations

• Separation of estimation and control for discrete time systems

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