激光与光电子学进展, 2020, 57 (15): 150601, 网络出版: 2020-08-04   

基于改进集合经验模态分解的陀螺信号降噪方法 下载: 955次

De-Noising Method for Gyroscope Signal Based on Improved Ensemble Empirical Mode Decomposition
作者单位
天津大学微电子学院, 天津 300072
摘要
为了抑制陀螺仪的非线性、非平稳噪声,提出了一种改进的基于集合经验模态分解(EEMD)的降噪方法EEMD-M。首先,通过EEMD阈值滤波得到信息主导和噪声主导的固有模态函数(IMF)分量;将EEMD应用于第一次阈值滤波中被丢弃的IMF分量,提取信号的细节信息;采用去趋势波动分析(DFA)法定义每一个IMF分量的尺度指数,实现二次分解中有用分量的进一步提取;将两次滤波得到的有用IMF分量进行重构,得到降噪后的信号。为了验证EEMD-M的有效性,进行了实测数据的降噪实验。结果表明所提EEMD-M优于经验模态分解(EMD)降噪、DFA-EMD降噪、EEMD降噪和小波分析方法。实测数据的均方误差降低了82.9%,随机漂移得到明显抑制,这验证了EEMD-M的可行性和优越性,提高了微机电系统陀螺在光学图像处理中的稳定性和可靠性。
Abstract
In order to suppress the nonlinear and nonstationary noise of a gyroscope, this paper proposes an improved de-noising method called EEMD-M based on ensemble empirical mode decomposition (EEMD). First, the information and noise dominated intrinsic mode function (IMF) components are obtained by EEMD threshold filtering. Then, EEMD is applied to the discarded IMF components in the first threshold filtering to extract the signal detail. The scaling index of each IMF component is defined by the detrended fluctuation analysis (DFA) method, and the useful components in the secondary decomposition are further extracted. Finally, the useful IMF components obtained after the two decompositions are reconstructed to obtain a de-noised signal. In order to verify the effectiveness of the proposed EEMD-M, the noise reduction experiments for the measured data are carried out. The results show that the proposed algorithm is superior to the empirical mode decomposition (EMD) de-noising method, DFA-EMD de-noising method, EEMD de-noising method, and wavelet analysis method. The mean square error of the measured data decreases by 82.9%, and the random drift is significantly suppressed, which verifies the feasibility and superiority of the proposed EEMD-M and improves the stability and reliability of the micro electromechanical system gyroscope in optical image processing.

吴倩, 刘昱. 基于改进集合经验模态分解的陀螺信号降噪方法[J]. 激光与光电子学进展, 2020, 57(15): 150601. Qian Wu, Yu Liu. De-Noising Method for Gyroscope Signal Based on Improved Ensemble Empirical Mode Decomposition[J]. Laser & Optoelectronics Progress, 2020, 57(15): 150601.

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