Optimization of Distributed Bayesian Fusion System Based on Genetic Algorithm
Sun Yong · Jisuanji fangzhen · 2007
Data from multiple sensors were synthesized in data fusion detection system, whose performances were respected better than single sensor detection’s. To obtain the global optimizing solution of distributed Bayesian fusion system, a group of coupled nonlinear equations need to be solved. As the number of sensors grows, the computational burden grows rapidly. It can’t be resolved by traditional methods. Structures of data fusion system were presented. Distributed Bayesian detection fusion system was formulated. To establish the global optimizing Bayesian detection fusion system, combination of exhaustively enumerating search and genetic algorithm were introduced. The simulation results prove the validity of the algorithm.