OPTIMAL DISTRIBUTED DETECTION OF MULTIPLE HYPOTHESES USING BLIND ALGORITHM

In a parallel distributed detection in order to design the optimal fusion rule, the fusion center needs to have perfect knowledge of the performance of the local detectors as well as the prior probabilities of the hypotheses. Such knowledge is not available in most practical cases. In this paper, we propose a blind technique for the $M$-ary distributed detection problem. We derive the probability mass function of the local decisions and use …