ALGORITHMS FOR SENSOR FUSION: Applications of Distance Measures and Probability of Error Bounds to Distributed. Detection Systems. Volume 2
Final rept. Oct 1990-Nov 1991
KAMAN SCIENCES CORP COLORADO SPRINGS CO
Pagination or Media Count:
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.
- Numerical Mathematics