【作者】 焦英魁； 李志伟； 张宝峰；

【Author】 JIAO Ying-kui;LI Zhi-wei;ZHANG Bao-feng;School of Precision Instrument and Opto-Electronics Engineering,Tianjin University;Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems,Tianjin University of Technology;

【机构】 天津大学精密仪器与光电子工程学院； 天津理工大学天津市复杂系统控制理论及应用重点实验室；

【摘要】 超声波信号被广泛应用于工业检测,针对检测中存在超声波频段干扰噪声,采用了一种基于维纳滤波器和最小均方算法的自适应滤波算法对超声波回波信号滤波。该方法首先保证超声波回波信号失真小,在时域上获得一定增益,进而通过最小均方自适应滤波算法进行滤波。实验表明,本研究采用的方法可以有效滤除超声波信号频带之外的干扰噪声,该方法为脉冲相关法及相关系数法等精确测量声速方法提供基础。更多还原

【Abstract】 Ultrasonic signals are widely used in industrial testing.For the ultrasonic band interference noise in the detection,an adaptive filtering algorithm based on Wiener filter and least mean square algorithm is used to filter the ultrasonic echo signals.The method firstly ensures that the ultrasonic echo signal has small distortion,obtains a certain gain in the time domain,and then performs filtering by a minimum mean square adaptive filtering algorithm.Experiments show that the method used in this study can effectively filter out the interference noise outside the ultrasonic signal band.This method provides the basis for accurate measurement of sound velocity methods such as pulse correlation method and correlation coefficient method.更多还原