MIMU信号去噪方法的对比研究

Contrast and study on de-noising methods for MIMU's output signals

采用“中值平均法”、“FIR数字滤波器滤波法”、“小波去噪”三种不同的方法对MIMU的输出信号进行去噪处理。通过对处理结果的比较研究,证实了小波变换算法在信号去噪处理中的适用性和优越性,并且编写了实时信号处理软件,提高了MIMU的输出精度,从而提高了惯导系统的精度。

Three methods, i.e. the middle-value averaging, FIR digital filtering and wavelet de-noising, were used respectively to de-noise the MIMU's output signals. By comparing the processing results, the usability and superiority of the wavelet transform algorithm was proved. A real-time processing software was written, which improves the MIMU accuracy, so the navigation system's accuracy is improved.