Title :
Distributed Asynchonous detection: General models
Author_Institution :
University of Maryland, College Park, MD
Abstract :
We introduce axiomatically, new non-commutative probability models for the data in distributed detection asynchronous schemes. We completely characterize mathematically these models and their representation. They represent extensions of models for communicating asynchronous processes. We provide a general theorem characterizing the representation of data collected by a distributed asynchronous detection scheme. We discuss how this model can be used to obtain performance bounds.
Keywords :
Distributed computing; Educational institutions; Large-scale systems; Logic; Mathematical model; Performance evaluation; Sensor fusion; State estimation; Statistical distributions; Stochastic systems;
Conference_Titel :
Decision and Control, 1987. 26th IEEE Conference on
Conference_Location :
Los Angeles, California, USA
DOI :
10.1109/CDC.1987.272805
