Optimal distributed decision fusion
Stelios C. A. Thomopoulos, R. Viswanathan, D.K. Bougoulias · IEEE Transactions on Aerospace and Electronic Systems · 1989
The problem of decision fusion in distributed sensor systems is considered. Distributed sensors pass their decisions about the same hypothesis to a fusion center that combines them into a final decision. Assuming that the sensor decisions are independent of each other for each hypothesis, the authors provide a general proof that the optimal decision scheme that maximizes the probability of detection at the fusion for fixed false alarm probability consists of a Neyman-Pearson test (or a randomized N-P test) at the fusion and likelihood-ratio tests at the sensors.>