Research on Multisensor Target Recognition Algorithm Based on Bayesian Networks
HE Sheng-qiang · Chuangan jishu xuebao · 2007
Due to the character of Bayesian network which can express and infer on uncertainty evidences.The target recognition modeling based on bayesian network has been brought out.The bayesian network struction of target fusion racognition has been built based on the inference rules of air target recognition.The data fusion of diferent sensors was delt first,their fusion results were fused again with bayesian network inference algorithm and the final fusion result can be gained according to the probability values of different variable states.The simulation example showed that this method is simple and direct in computation in real time,reduces the complexity in application and approves the reliaability in recognition.