Target Recognition Based on Muti-feature Fusion and Rule-based Reasoning
Wan Hong-rong · Telecommunication Engineering · 2012
For improving the reliability of the emitter and target identification in interference environment,a framework for target identification is designed which has classification of the feature level and decision level.Emitters are identified by characteristics association and matching confidence fusion.Rule-based reasoning on rough sets is proposed.The simulation results show that the method can enhance the fault tolerance of the target recognition.