Decentralized Sequential Detection with a Fusion Center Performing the Sequential Test

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 quasiclassical, it is shown that the problem is tractable. A detailed analysis of this case is presented here.

[1]  H. Witsenhausen.  Separation of estimation and control for discrete time systems , 1971 .

[2]  J. Tsitsiklis.  On threshold rules in decentralized detection , 1986, 1986 25th IEEE Conference on Decision and Control.

[3]  Yu-Chi Ho,et al.  The Decentralized Wald Problem , 1987, Inf. Comput..

[4]  P. Varshney,et al.  A simple multi-sensor sequential detection procedure , 1988, Proceedings of the 27th IEEE Conference on Decision and Control.

[5]  Ian B. Rhodes,et al.  Decentralized sequential detection , 1989, IEEE Trans. Inf. Theory.

[6]  J. Tsitsiklis.  Extremal properties of likelihood-ratio quantizers , 1990, 29th IEEE Conference on Decision and Control.

[7]  Venugopal V. Veeravalli.  Comments on "Decentralized sequential detection , 1992 .

[8]  H. Vincent Poor,et al.  Decentralized Sequential Detection with a Fusion Center Performing the Sequential Test , 1992, 1992 American Control Conference.