非高斯噪声背景下的自适应信号提取方法研究

Study on Adaptive Signal Pickup under Non-Gauss Noise

为实现对非高斯背景噪声干扰条件下用信号的提取,将BP神经网络作为自适应噪声对消滤波器,以与干扰噪声强相关的噪声源作为参考噪声,实现对背景噪声的抑制,达到了有用信号提取的目的。BP神经网络自适应噪声对消技术不仅适用于线性相关参考噪声,同时也适用于非线性相关参考噪声,可以有效提高信号传递和接收的信噪比。

In order to implement the self - adapted pick - up signal interfered by non - Gauss noise, we use the BP neural network as noise cancellation filter, interfered noise was strongly interrelated with the resource of noise as reference noise in order to control the background noise. The BP neural network self - adapted noise cancellation can be used not only in linear interrelated noise, but also in non -linear interrelated noise. By this means, the quality of signal - to - noise ratio can be effectively improved in the process of signal transmitting and receiving.