基于低通滤波技术的道路高频动态响应信号处理技术

Road High Frequency Dynamic Response Signal Processing Technology Based on Low Pass Filtering Technology

对路面动态响应信号进行有效的处理是得到沥青路面结构动力响应的可靠保证。为有效提高路面动态响应信号的分析精度,本文首先对路面动态响应信号进行时频分析,并就常用的低通滤波处理路面动态响应信号方法进行原理介绍和数据处理,结合低通滤波方法对路面动态响应信号进行降噪处理。同时将低通滤波与小波分解重构方法处理后的结果进行分析对比。结果表明:2种处理方法降噪效果均保留了有效信号特征。在频率阈值范围内,低通滤波后的路面动态响应信号幅值损失较少,低通滤波降噪方法更适合已知频率范围的路面动态响应信号处理。

Processing the pavement dynamic response signal effectively is a reliable way to obtain the dynamic response of asphalt pavement structures.In order to effectively improve the analysis accuracy of pavement dynamic response signal,this paper first carries out time-frequency analysis of pavement dynamic response signal,and introduces the principle and data processing of the commonly used low-pass filtering method for pavement dynamic response signal,and combines the lowpass filtering method for noise reduction of pavement dynamic response signal.At the same time,the results of low-pass filtering and wavelet decomposition and reconstruction are analyzed and compared.The results show that the noise reduction effect of the two processing methods retains the effective signal characteristics.In the frequency threshold range,the amplitude loss of pavement dynamic response signal after low-pass filtering is less,and the low-pass filtering denoising method is more suitable for pavement dynamic response signal processing with known frequency range.