Abstract:A new method for radar target recognition based on modular neural networks is reported in this paper.In this method,the response from an unknown target is first sent to several waveform predicators that the some BP neural networks trained by responses from known targets respectively.Then the predicator erros are inputted to a classfier using the rule of maximum a posteriori or the rule of modified minimum squared errorrs.The simulation of PC computer shows that the new method has a good performance on radar target recognition.The method also has other advantages such as easy realization,clear structure and easy expansion.