A Wavelet Domain Karhunen-Loeve Transformation Denoising Method for MEMS Gyro Signals
Hongzhao Liu · Acta Armamentarii · 2010
For effectively reducing the random drift error in micro-electro-mechanical system(MEMS) gyro signals,a novel denoising method is presented,namely the Karhunen-Loeve transformation(KLT) in the wavelet domain.The wavelet decomposition was performed on the segmented MEMS gyro signals;the 6-tap filter was applied to the corresponding medium and high frequency components;the KLT was carried out by the similarity among the wavelet scales for the interpolated high-frequency components to eliminate the extraneous noise;the threshold processing was further implemented on the KLT-denoised signal for better denoising.The calculated results show that the proposed denoising method can make variance,null deflection stability and random drift error improved obviously in comparison with the wavelet threshold based denoising methods.