Optimum Distributed Detection Fusion Algorithm for Correlated Sensor Observations
GE Xinlei · Xi'an Jiaotong Daxue xuebao · 2008
The system performance optimization for distributed serial detection system is considered.The fusion system consists of N sensors,and the optimality criterion is Bayesian criterion.In order to optimize the system performance,a joint optimization method of the sensor decision rules is proposed.The optimality condition for joint-optimizing sensor decision rules is derived for correlated sensor observations,and a set of system equations that are satisfied by the optimal sensor decision rules is obtained.A numerical iterative algorithm for the solution of the system equations is proposed to generate the optimal sensor decision rules.Simulation results show that,by optimizing the sensor decision rules jointly using the proposed iterative algorithm,the Bayes risk of the fusion system can be made much lower than that of single sensor.