Frontiers of Optoelectronics, 2015, 8 (4): 413, 网络出版: 2016-01-06
An improved noise reduction algorithm based on wavelet transformation for MEMS gyroscope
An improved noise reduction algorithm based on wavelet transformation for MEMS gyroscope
micro-electro mechanical systems (MEMS) micro-electro mechanical systems (MEMS) gyroscopes gyroscopes fast Fourier transformation (FFT) noise reduction fast Fourier transformation (FFT) noise reduction wavelet noise reduction wavelet noise reduction
摘要
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.
Abstract
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.
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. 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.