强噪声下微弱信号处理方法研究

Research on Methods of Weak Signal Processing in Strong Noise

机械设备中信号检测时有用信号比较微弱且存在较强的噪声,给信号检测与处理带来了一定的困难。针对这个难题,采用相关检测、自适应滤波器等微弱信号检测方法,从噪声中检测出微弱信号。首先介绍了相关检测法与自适应滤波器的基本原理,重点阐述相关检测法与自适应滤波器结构及去除噪声干扰的方法,分别用时域与频域方法对微弱信号进行提取。最后在机械实验台上进行验证,实验结果表明:相关检测法与自适应滤波器均能去除干扰信号,提取到有效信号。

In the signal detection for mechanical equipment,the useful signal very weak but the noise signal very strong.lt ＇bring some difficulty to signal detection and processing. According to the problem,the weak signal detection method of corrlation detection and self-adapting filter are used, the weak signals are detected from noise.First of all,the principles of correlation detection and self-adapting filter are introduced, It emphasis on the method of de-noising and structure of correlation detection and self-adapting filter.The methods of time domain and frequency domain are used to pick up weak signal.Finally,the method has confirmed on mechanical experiment table,the experiment result indicate that both correlation detection method and self-adapting filter are able to de-noising and pick up effective signal.