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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.
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| Keywords
micro-electro mechanical systems (MEMS)
gyroscopes
fast Fourier transformation (FFT) noise reduction
wavelet noise reduction
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Corresponding Author(s):
Jianguo YUAN
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Just Accepted Date: 26 January 2015
Online First Date: 10 February 2015
Issue Date: 24 November 2015
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