DocumentCode
3287843
Title
Random drift modeling for MEMS gyroscope based on lifting wavelet and wavelet neural network
Author
Liu, Qiang ; Xu, Jiang-ning ; Han, Bo ; Wu, Miao
Author_Institution
Dept. of Navig. Eng., Naval Univ. of Eng., Wuhan, China
fYear
2011
fDate
15-17 April 2011
Firstpage
3454
Lastpage
3456
Abstract
Lifting wavelet and wavelet neural network are proposed in this paper. Lifting wavelet is employed to eliminate the noise of MEMS firstly, then wavelet neural network is introduced to modeling and compensate the random drift. The simulation results show that the proposed methods can effectively eliminate the noise and compensate the MEMS´s random drift.
Keywords
gyroscopes; micromechanical devices; neural nets; wavelet transforms; MEMS gyroscope; MEMS random drift modeling; lifting wavelet; noise elimination; wavelet neural network; Artificial neural networks; Finite impulse response filter; Gyroscopes; Indium phosphide; Micromechanical devices; Navigation; Transducers; MEMS; gyroscope; lifting wavelet; random drift; wavelet neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5778009
Filename
5778009
Link To Document