Study on MEMS Gyro Signal De-Noising Based on Improved Wavelet Threshold Method

Yong Sheng Shi; Zhi Feng Gao

doi:10.4028/www.scientific.net/AMM.433-435.1558

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435Study on MEMS Gyro Signal De-Noising Based on...

Study on MEMS Gyro Signal De-Noising Based on Improved Wavelet Threshold Method

Abstract:

An effective filtering method for MEMS gyro random drift is discussed. On the basis of the fundamentals and defect analysis of wavelet threshold de-noising, a new continuous threshold function at λ is presented, signal concussion and distortion in wavelet hard and soft threshold method is effectively overcome. The improved wavelet de-noising algorithm is applied to MEMS gyro signal filtering experiment and experimental results show that the proposed method can effectively reduce the high frequency noise, restrain the MEMS gyro random drift, increases the SNR and decrease the MSE.

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Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

1558-1562

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.1558

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Online since:

October 2013

Authors:

Yong Sheng Shi*, Zhi Feng Gao

Keywords:

MEMS Gyro, Random Drift, Threshold Function, Wavelet Threshold De-Noising

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* - Corresponding Author

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