Optimal Distributed Binary Hypothesis Testing with Independent Identical Sensors

@inproceedings{Varshney2000OptimalDB,
  title={Optimal Distributed Binary Hypothesis Testing with Independent Identical Sensors},
  author={Pramod K. Varshney and Richard D. Wesel},
  year={2000}
}
We consider the problem of distributed binary hypothesis testing with independent identical sensors. It is well known that for this problem the optimal sensor rules are a likelihood ratio threshold tests and the optimal fusion rule is a K-out-of-N rule [1]. Under the Bayesian criterion, we show that for a fixed K-out-of-N fusion rule, the probability of error is a quasiconvex function of the likelihood ratio threshold used in the sensor decision rule. Therefore, the probability of error has a… CONTINUE READING