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Frontiers of Optoelectronics

Front. Optoelectron.    2015, Vol. 8 Issue (4) : 413-418     DOI: 10.1007/s12200-015-0474-2
RESEARCH ARTICLE |
An improved noise reduction algorithm based on wavelet transformation for MEMS gyroscope
Jianguo YUAN(),Yantao YUAN,Feilong LIU,Yu PANG,Jinzhao LIN
Key Lab of Optical Fiber Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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Abstract

To solve the large noise problem for the low-precision gyroscopes in micro-electro mechanical systems (MEMS) of inertial navigation system, an improved noise reduction method, based on the analyses of the fast Fourier transformation (FFT) noise reduction principle and the simple wavelet noise reduction principle, was proposed. Furthermore, the FFT noise reduction method, the simple wavelet noise reduction method and the improved noise reduction method were comparatively analyzed and experimentally verified in the case of the constant rate and dynamic rate. The experimental analysis results showed that the improved noise reduction method had a very good result in the noise reduction of the gyroscope data at different frequencies, and its performance was superior to those of the FFT noise reduction method and the simple wavelet noise reduction method.

Keywords micro-electro mechanical systems (MEMS)      gyroscopes      fast Fourier transformation (FFT) noise reduction      wavelet noise reduction     
Corresponding Authors: Jianguo YUAN   
Just Accepted Date: 26 January 2015   Online First Date: 10 February 2015    Issue Date: 24 November 2015
 Cite this article:   
Jianguo YUAN,Yantao YUAN,Feilong LIU, et al. An improved noise reduction algorithm based on wavelet transformation for MEMS gyroscope[J]. Front. Optoelectron., 2015, 8(4): 413-418.
 URL:  
http://journal.hep.com.cn/foe/EN/10.1007/s12200-015-0474-2
http://journal.hep.com.cn/foe/EN/Y2015/V8/I4/413
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Jianguo YUAN
Yantao YUAN
Feilong LIU
Yu PANG
Jinzhao LIN
Fig.1  

Original signal of the MEMS gyroscope

Fig.2  

Comparison results of the constant rate noise reduction

Fig.3  

Comparison of the 10 Hz noise reduction effect

Fig.4  

Comparison of the 40 Hz noise reduction effect

Fig.5  

Comparison of the 75 Hz noise reduction effect

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