光学精密工程2017，Vol.25Issue(12)：3160-3168,9.DOI:10.3788/OPE.20172512.3160
应用分层自适应匹配追踪重构MEMS陀螺信号
MEMS gyro signal reconstruction via layerwise and adaptive MP
摘要
Abstract
When noisy signals from a Micro-electromechanical System(MEMS) gyro are reconstructed by wavelet decomposes,it is difficult to choose the wavelet coefficients corresponding to the real signals.Therefore,a kind of Layerwise and Adaptive Matching Pursuit-based(LAMP-based) algorithm was proposed to solve the problem mentioned above.A sparse extraction construction of wavelet coefficients from the real MEMS gyro signal was established by recovering the sparsity of the wavelet coefficients of the noisy gyro signal.Then,the new LAMP algorithm was designed to pick out the most sparse wavelet coefficients among all wavelet coefficients of the noisy MEMS gyro signal,and the chosen wavelet coefficients were utilized to reconstruct the real MEMS gyro signal.Substantial experiment results indicate that the proposed LAMP algorithm is superior to other iterative greedy reconstruction algorithms.It effectively removes substantial MEMS gyro noise,and corresponding azimuth average error reduces from 10.060 2 (°)/h (before LAMP reconstruction) to 5.034 6 (°)/h (after LAMP reconstruction),which shows its denoising performance to be better than that of the traditional wavelet threshold reconstruction method with an azimuth average error of 8.596 8 (°)/h(after wavelet threshold reconstruction).It concludes that the proposed LAMP-based signal reconstruction method for MEMS gyro has good application prospect.关键词
MEMS陀螺/信号重构/小波变换/分层自适应匹配追踪(LAMP)算法Key words
MEMS gyro/signal reconstruction/wavelet transform/layerwise and adaptive MP algorithm分类
信息技术与安全科学引用本文复制引用
杨金显,杨闯..应用分层自适应匹配追踪重构MEMS陀螺信号[J].光学精密工程,2017,25(12):3160-3168,9.基金项目
国家自然科学基金资助项目(No.41672363,No.U1404510,No.61440007),河南省科技攻关专项资金资助项目(No.172102210289),河南省创新型科技人才队伍建设工程资助项目(No.CXTD2016054),河南省高校基本科研业务费专项资金资助项目(No.NSFRF1619),河南理工大学杰出青年基金资助项目(No.J2017-5) （No.41672363,No.U1404510,No.61440007）
