小波神经网络在雷达信号分选中的应用  

Application of Wavelet Neural Network to Radar Signal Sorting

作　　者：江涛[1] 何明浩[1] 翟卫俊[1] 

机构地区：[1]空军雷达学院微波工程系,湖北武汉430019

出　　处：《雷达科学与技术》2004年第6期341-344,共4页Radar Science and Technology

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 。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.

关 键 词：小波 神经网络 信号分选 

分 类 号：TN971[电子电信—信号与信息处理]