Adaptive MEMS Gyroscope Denoising Method Based on the a Trous Wavelet Transform

摘要：

Based on the a trous wavelet transform,an adaptive MEMS gyroscope angular velocity denoising method is proposed. In order to overcome the phase distortion resulted by decimation used in the traditional wavelet transform and to cater for the requirement that future data values cannot be used in the calculation of the wavelet transform,the Haar a trous wavelet transform is selected to filter the signal. And for further retaining the singularities of signal other than noise,a time varying signal denoising is performed on the segmented detail coefficients at different scales. The experimental results show that this method not only reduces the variance of signal efficiently when the platform is stationary but also keeps track the real signal timely when the platform is dynamic.

关键词： MEMS gyroscope denoising a trous wavelet transform.

作者: Guofu Qu Fan Zhao Guizhong Liu Hongzhao Liu

作者单位: School of Mechanical Engineering and Precision Instrument,Xian Universit y of Technology,Xian 7100 School of Electronics and Information Engineering,Xian Jiaotong University,Xian 710049,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 1864-1868

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）