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
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;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5778009
