In order to improve the performance of target recognition system and the precision of target recognition，a model based on radar and infrared sensor was proposed.For radaran algorithm based on parameter learning Bayesian network was proposed.The EM algorithm was employed for parameter optimizationand the target was classified according to its attribute information.For infrared sensorthe algorithm based on wavelet moment features was adopted.The wavelet moment features were extracted and selectedand the target image was recognized through BP neural network.FinallyDS theory was adopted to combine the recognition results of radar and infrared sensorthus the close target recognition based on radar and infrared imaging sensor was realized.Simulation results indicate that:Compared with a single sensorthe proposed model has a higher precision for target recognition.