基于小波模糊阈值去噪方法在MEMS加速度计去噪中的应用  

Application of wavelet fuzzy threshold denoising method in MEMS accelerometer denoising

作　　者：邓祎昕 郭华玲 郑宾[1,2] 景冰洁 Deng Yixin;Guo Hualing;Zheng Bin;Jing Bingjie(School of Electrical and Control Engineering,North University of China,Taiyuan 030051,China;Key Laboratory of Electronic Testing Technology,North University of China,Taiyuan 030051,China)

机构地区：[1]中北大学电气与控制工程学院,太原030051 [2]中北大学电子测试技术重点实验室,太原030051

出　　处：《国外电子测量技术》2021年第8期134-138,共5页Foreign Electronic Measurement Technology

摘　　要：针对微机电系统(MEMS)加速度计的输出线加速度信号数据不可避免地存在随机噪声,会对捷联惯导系统的姿态解算造成干扰,导致解算精度降低。在传统小波阈值去噪法的基础上,引入模糊理论,将模糊理论与小波分析结合,提出了一种新的基于模糊理论的阈值,再利用离散小波变换对MEMS加速度计信号进行处理,以最大程度去除随机噪声。通过实际三轴MEMS加速度计输出静态数据进行仿真,并与传统小波阈值去噪方法进行去噪效果比较,表明基于模糊理论的阈值的效果更加理想。For the output linear acceleration signal data of the MEMS accelerometer, there is inevitably random noise, which will interfere with the attitude calculation of the strapdown inertial navigation system, resulting in a decrease in the accuracy of the calculation. Based on the traditional wavelet threshold denoising method, this paper introduces fuzzy theory, combines fuzzy theory with wavelet analysis, and proposes a new threshold based on fuzzy theory. Discrete wavelet transform is used to process MEMS accelerometer signals. Remove random noise to the greatest extent. The simulation is carried out through the static output data of the actual three-axis MEMS accelerometer, and the denoising effect is compared with the traditional wavelet threshold denoising method, which shows that the effect of the threshold based on fuzzy theory is more ideal.

关 键 词：MEMS加速度计去噪 小波变换 模糊阈值 

分 类 号：TN911[电子电信—通信与信息系统]