传感技术学报2017，Vol.30Issue(11)：1677-1683,7.DOI:10.3969/j.issn.1004-1699.2017.11.011
随钻测量用MEMS陀螺信号稀疏提取
Signal Extraction of MEMS Gyro Utilized in MWD Based on Sparse Representation
摘要
Abstract
According to the characteristics of the detected signal from MEMS gyro utilized in measurement while drilling(MWD),a kind of sparse representation-based gyro signal extraction method is proposed. Firstly,the sparse characteristics about the gyro detection signal is analyzed from the perceptive of the signal compositions;Secondly, the atom dictionary most similar to the gyro detection signal is designed;Thirdly,by comparing the advantages and disadvantages of the existing sparse reconstruction algorithms,a novel sparse adaptive matching pursuit algorithm is proposed to extract the real detection signals of the gyro;Finally,the proposed sparse reconstruction algorithm based on the newly designed atom dictionary was used to extract the actual gyro signal,compared with the wavelet thresh-old extraction method. Substantial experiments results indicate that the proposed sparse extraction-based outperformes wavelet threshold method.关键词
随钻测量/MEMS陀螺/稀疏提取/小波变换Key words
MWD/MEMS gyro/sparse representation/wavelet transform分类
机械制造引用本文复制引用
杨金显,杨闯..随钻测量用MEMS陀螺信号稀疏提取[J].传感技术学报,2017,30(11):1677-1683,7.基金项目
国家自然科学基金项目(41672363,U1404510,61440007),河南省科技攻关项目(172102210289),河南省创新型科技人才队伍建设工程项目(CXTD2016054),河南省高校基本科研业务费专项资金项目(NSFRF1619),河南理工大学杰出青年基金项目(J2017-5) （41672363,U1404510,61440007）
