Air target identification based on data repaired discrete dynamic bayesian networks

The current research status of how to handle the missing data on Discrete Dynamic Bayesian Networks (DDBNs) was reviewed. It was proposed to apply the data repairing technique to the variable structure DDBNs. First based on the analysis of the air target identification model, a kind of DDBNs model was constructed with the data repairing. Then the repairing algorithm in theory was deduced, in addition, the process of the repairing was given. After repairing the missing data, the modified direct reference algorithm was used to compute the target type. By the comparison of the simulation results, it shows that this method can effectively improve the accuracy, reliability and robustness of the system.