Denoising Method of MEMS Gyroscope Based on Interval Empirical Mode Decomposition
Joint Authors
Liu, Yang
Chen, Guangwu
Wei, Zongshou
Yang, Juhua
Xing, Dongfeng
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-08
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The microelectromechanical system (MEMS) gyroscope has low measurement accuracy and large output noise; the useful signal is often submerged in the noise.
A new denoising method of interval empirical mode decomposition (IEMD) is proposed.
Firstly, the traditional EMD algorithm is used to decompose the signal into a finite number of intrinsic mode functions (IMFs).
Based on the Bhattacharyya distance analysis and the characteristics of the autocorrelation function, a screening mechanism is proposed to divide IMFs into three categories: noise IMFs, mixed IMFs, and signal IMFs.
Then, the traditional modelling filtering method is used to filter the mixed IMFs.
Finally, the mixed IMFs after modelling and filtering and signal IMFs are reconstructed to obtain the denoised signal.
In the experimental analysis, the static denoising experiment of the turntable, the Allan variance analysis, dynamic denoising experiment, and vehicle experiment are set up in this paper, which fully proves that the method has obvious advantages in denoising and greatly improves the quality of signal and the accuracy of the inertial navigation system solution.
American Psychological Association (APA)
Liu, Yang& Chen, Guangwu& Wei, Zongshou& Yang, Juhua& Xing, Dongfeng. 2020. Denoising Method of MEMS Gyroscope Based on Interval Empirical Mode Decomposition. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1194148
Modern Language Association (MLA)
Liu, Yang…[et al.]. Denoising Method of MEMS Gyroscope Based on Interval Empirical Mode Decomposition. Mathematical Problems in Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1194148
American Medical Association (AMA)
Liu, Yang& Chen, Guangwu& Wei, Zongshou& Yang, Juhua& Xing, Dongfeng. Denoising Method of MEMS Gyroscope Based on Interval Empirical Mode Decomposition. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1194148
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194148