DocumentCode
1775358
Title
Improved wavelet threshold denoising method for MEMS gyroscope
Author
Zan-ping Li ; Qiong-jian Fan ; Li-min Chang ; Xiao-Hong Yang
Author_Institution
Aviation Univ. of air force, Changchun, China
fYear
2014
fDate
18-20 June 2014
Firstpage
530
Lastpage
534
Abstract
The random noise is an important factor that affects the precision of MEMS gyroscope. Analyzed the noise characteristic of gyroscope by using Allan variance, introduced the thought of wavelet threshold de-noising method, and presented an improved wavelet threshold quantization function. Expatriate the complete build process of wavelet threshold denoising scheme and examined the effectiveness and repeatability of the scheme. Static and dynamic tests show that: the program can effectively eliminate random noise MEMS gyroscopes, improved stability characteristics of the signal.
Keywords
dynamic testing; gyroscopes; microsensors; quantisation (signal); random noise; signal denoising; wavelet transforms; Allan variance; MEMS gyroscope; dynamic testing; improved wavelet threshold denoising method; improved wavelet threshold quantization function; random noise characteristics; static testing; Gyroscopes; Micromechanical devices; Noise; Noise reduction; Wavelet analysis; Wavelet coefficients;
fLanguage
English
Publisher
ieee
Conference_Titel
Control & Automation (ICCA), 11th IEEE International Conference on
Conference_Location
Taichung
Type
conf
DOI
10.1109/ICCA.2014.6870975
Filename
6870975
Link To Document