应用小波神经网络实现探地雷达信号的滤噪

本文介绍了小波神经网络的结构和算法，并将其应用于探地雷达回波信号的噪声滤除中。文中采用以Bubble母小波为基础的小波神经网络，提出用逐步逼近法实现雷达回波信号的去噪。结果表明，经过滤噪后的信号达到了预期的效果，很好的拟合了原来的信号。本文工作对雷达信号的处理有着重要的实用价值，有着较好的应用前景和优越性。

Realizing Ground Penetrating Radar Echo's Denoising by using Wavelet Neural Network

The structure and the algorithm of wavelet neural network are introduced in this paper.It is applied to reduce the Ground Penetrating Radar echo's noise. The wavelet neural network based on Bubble Mother Wavelet is used to denoise the radar signals through successive approximation.The results show that the denoised signals acquire anticipative effect,and fit the original signals very well.It's significative to preprocess radar's signals and hold a bright future in processing radar signals.