Frontiers of Optoelectronics, Volume. 8, Issue 4, 413(2015)

An improved noise reduction algorithm based on wavelet transformation for MEMS gyroscope

Jianguo YUAN*... Yantao YUAN, Feilong LIU, Yu PANG and Jinzhao LIN |Show fewer author(s)
Author Affiliations
  • Key Lab of Optical Fiber Communication Technology, Chongqing University of Posts and Telecommunications,Chongqing 400065, China
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    To solve the large noise problem for the lowprecision 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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    Jianguo YUAN, Yantao YUAN, Feilong LIU, Yu PANG, Jinzhao LIN. An improved noise reduction algorithm based on wavelet transformation for MEMS gyroscope[J]. Frontiers of Optoelectronics, 2015, 8(4): 413

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    Paper Information

    Category: RESEARCH ARTICLE

    Received: Jul. 17, 2014

    Accepted: Oct. 28, 2014

    Published Online: Jan. 6, 2016

    The Author Email: Jianguo YUAN (yuanjg@cqupt.edu.cn)

    DOI:10.1007/s12200-015-0474-2

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