Distributed detection with feedback and optimal fusion

Abstract

A distributed detection scheme with feedback is proposed. The optimal fusion rule for minimizing the global error probability is derived. The analytic expressions of the global false alarm probability and global miss probability are obtained. It is proved that the performance of the new scheme converges with the increased stage of feedback. An example shows that the global performance possesses good convergence properties and is improved significantly.