Title :
MEMS Gyro Denoising Based on Second Generation Wavelet Transform
Author :
Ben, Mao ; Wei, Wu Jun ; Tong, Wu Jian ; Mei, Zhou Xue
Author_Institution :
Dept. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
In order to improve the precision of MEMS gyro, the MEMS gyro denoising method based on second generation wavelet transform is investigated in this paper. After introducing the principles and establishment of the second generation wavelet transform, a wavelet thresholding de-noising method based on the lifting scheme wavelet transform is used to remove the random drift of three axis MEMS gyro. The denoisng method we used showed good performance in speed and a little better precision compared to conventional wavelet thresholding schemes. The experimental results and analysis indicate that the lifting denoising can effectively reduce the random drift error of MEMS gyro and can be used in real time system.
Keywords :
micromechanical devices; signal denoising; wavelet transforms; MEMS gyro denoising; lifting scheme wavelet transform; random drift error; second generation wavelet transform; wavelet thresholding denoising; Discrete wavelet transforms; Micromechanical devices; Noise; Noise reduction; Wavelet analysis; MEMS gyro; random drift; second generation wavelet transform; signal de-noising;
Conference_Titel :
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8043-2
Electronic_ISBN :
978-0-7695-4180-8
DOI :
10.1109/PCSPA.2010.69