【摘要】 提出了一种基于小波神经网络的雷达信号分选方法。该方法首先进行脉冲流的粗分选 ,然后应用小波神经网络和模式匹配进行细分选。进行了仿真试验 ,给出了该方法对含有噪声的脉冲流的分选结果 ,证明了该方法的可行性更多还原

【Abstract】 An efficient method of radar signal sorting based on wavelet neural network is proposed in this paper. Firstly, the traditional histogram classification is applied to sort coarsely pulse stream signal, the wavelet neural network and pattern matching are then combined to implement signal subdivision. The simulation results show that the method proposed has better sorting performance for the pulse stream signal with noise.更多还原