ALGORITHMS FOR SENSOR FUSION: Applications of Distance Measures and Probability of Error Bounds to Distributed. Detection Systems. Volume 2
Pramod K. Varshney, Wael A. Hashlamoun · 1991
In this report, we consider some design and analysis aspects of distributed detection networks. The main focus is on the Bayesian approach to the design of these systems. They present a computationally efficient approach to the design of decentralized Bayesian detection systems. This procedure is based upon an alternate representation of the minimum average cost in terms of a modified form of the Kolmogorov variational distance. They demonstrate the utility of our approach by applying it to the design and performance evaluation of four decentralized detection structures.