基于小波分析的抗振动信号处理算法研究

Research on Anti-vibration Signal Processing Algorithm Based on Wavelet Analysis

在数据处理中,无论是实验室平台,还是户外测试,都可能引入由于振动产生的噪声,抑制这种振动噪声可以提高系统的测试精度.为了实现提高信号质量的目的,设计了基于小波分析的信号分析处理算法.首先,给出了小波分析的基本原理,并对小波去噪的特点、方式等进行介绍.通过理论计算推导了小波去噪对振动噪声抑制的函数形式.最后,通过实验对一组被振动噪声干扰的信号进行滤波,并对比了其分别表示的振幅与误差.实验结果显示,经小波去噪后的数据振幅相对降低,且总体差异不大,但其误差有了明显的改善.

In the data processing, both the laboratory platform and the outdoor test, it is possible to introduce the noise caused by the vibration, and to suppress the vibration noise can improve the test accuracy of the system. In order to achieve the purpose of improving the signal quality, a signal analysis and processing algorithm based on wavelet analysis is designed. Firstly, the basic principle of wavelet analysis is given, and the characteristics and methods of wavelet noise treatment are introduced. Secondly, the function form of wavelet noise treatment for vibration noise suppression is deduced by theoretical calculation. Finally, a group of signals that are disturbed by vibration noise are filtered and compared with the amplitudes and errors respectively. The experimental results show that the amplitude of the data after wavelet noise treatment is relatively low, but the overall difference is not big, but the error is obviously improved.