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

被引：12
|
作者：
Yuan J. [1 ]
Yuan Y. [1 ]
Liu F. [1 ]
Pang Y. [1 ]
Lin J. [1 ]
机构：
[1] Key Lab of Optical Fiber Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing
来源：
Frontiers of Optoelectronics | 2015年 / 8卷 / 4期
基金：
中国国家自然科学基金;
关键词：
fast Fourier transformation (FFT) noise reduction; gyroscopes; micro-electro mechanical systems (MEMS); wavelet noise reduction;
D O I：
10.1007/s12200-015-0474-2
中图分类号：
学科分类号：
摘要：
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. © 2015, Higher Education Press and Springer-Verlag Berlin Heidelberg.
引用
收藏
页码：413 / 418
页数：5
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