期刊
SENSORS
卷 21, 期 4, 页码 -出版社
MDPI
DOI: 10.3390/s21041231
关键词
MEMS accelerometer; noise reduction; wavelet packet denoising; wavelet denoising; high-G calibration
资金
- National Natural Science Foundation of China [51705477]
- Fund of Key Research and Development (R&D) Projects of Shanxi Province [201903D111005]
- Fund of Science and Technology on Electronic Test & Measurement Laboratory [WD614200104011804]
- Fund for Shanxi 1331 Project Key Subjects Construction
This paper explores wavelet threshold denoising and wavelet packet threshold denoising in wavelet analysis for high-G accelerometers. Through numerical simulation and testing, it provides better methods for dynamic calibration and parameter extraction of high-G accelerometers.
High-G accelerometers are mainly used for motion measurement in some special fields, such as projectile penetration and aerospace equipment. This paper mainly explores the wavelet threshold denoising and wavelet packet threshold denoising in wavelet analysis, which is more suitable for high-G piezoresistive accelerometers. In this paper, adaptive decomposition and Shannon entropy criterion are used to find the optimal decomposition layer and optimal tree. Both methods use the Stein unbiased likelihood estimation method for soft threshold denoising. Through numerical simulation and Machete hammer test, the wavelet threshold denoising is more suitable for the dynamic calibration of a high-G accelerometer. The wavelet packet threshold denoising is more suitable for the parameter extraction of the oscillation phase.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据