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Application and Optimization of Wavelet Transform Filter for North-Seeking Gyroscope Sensor Exposed to Vibration.
Sensors (Basel) 2019; 19(16)S

Abstract

Conventional wavelet transform (WT) filters have less effect on de-noising and correction of a north-seeking gyroscope sensor exposed to vibration, since the optimal wavelet decomposed level for de-noising is difficult to determine. To solve this problem, this paper proposes an optimized WT filter which is suited to the magnetic levitation gyroscope (GAT). The proposed method was tested on an equivalent mock-up network of the tunnels associated with the Hong Kong‒Zhuhai‒Macau Bridge. The gyro-observed signals exposed to vibration were collected in our experiment, and the empirical values of the optimal wavelet decomposed levels (from 6 to 10) for observed signals were constrained and validated by the high-precision Global Navigation Satellite System (GNSS) network. The result shows that the lateral breakthrough error of the tunnel was reduced from 12.1 to 3.8 mm with a ratio of 68.7%, which suggests that the method is able to correct the abnormal signal of a north-seeking gyroscope sensor exposed to vibration.

Authors+Show Affiliations

School of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, China.School of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, China. yang_gps@chd.edu.cn.School of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, China.School of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, China.School of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, China.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31434313

Citation

Ma, Ji, et al. "Application and Optimization of Wavelet Transform Filter for North-Seeking Gyroscope Sensor Exposed to Vibration." Sensors (Basel, Switzerland), vol. 19, no. 16, 2019.
Ma J, Yang Z, Shi Z, et al. Application and Optimization of Wavelet Transform Filter for North-Seeking Gyroscope Sensor Exposed to Vibration. Sensors (Basel). 2019;19(16).
Ma, J., Yang, Z., Shi, Z., Zhang, X., & Liu, C. (2019). Application and Optimization of Wavelet Transform Filter for North-Seeking Gyroscope Sensor Exposed to Vibration. Sensors (Basel, Switzerland), 19(16), doi:10.3390/s19163624.
Ma J, et al. Application and Optimization of Wavelet Transform Filter for North-Seeking Gyroscope Sensor Exposed to Vibration. Sensors (Basel). 2019 Aug 20;19(16) PubMed PMID: 31434313.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Application and Optimization of Wavelet Transform Filter for North-Seeking Gyroscope Sensor Exposed to Vibration. AU - Ma,Ji, AU - Yang,Zhiqiang, AU - Shi,Zhen, AU - Zhang,Xuewei, AU - Liu,Chenchen, Y1 - 2019/08/20/ PY - 2019/06/06/received PY - 2019/08/03/revised PY - 2019/08/14/accepted PY - 2019/8/23/entrez PY - 2019/8/23/pubmed PY - 2019/8/23/medline KW - filtering de-noising KW - magnetic levitation gyroscope (GAT) KW - north-seeking gyroscope KW - time frequency analysis KW - wavelet transform JF - Sensors (Basel, Switzerland) JO - Sensors (Basel) VL - 19 IS - 16 N2 - Conventional wavelet transform (WT) filters have less effect on de-noising and correction of a north-seeking gyroscope sensor exposed to vibration, since the optimal wavelet decomposed level for de-noising is difficult to determine. To solve this problem, this paper proposes an optimized WT filter which is suited to the magnetic levitation gyroscope (GAT). The proposed method was tested on an equivalent mock-up network of the tunnels associated with the Hong Kong‒Zhuhai‒Macau Bridge. The gyro-observed signals exposed to vibration were collected in our experiment, and the empirical values of the optimal wavelet decomposed levels (from 6 to 10) for observed signals were constrained and validated by the high-precision Global Navigation Satellite System (GNSS) network. The result shows that the lateral breakthrough error of the tunnel was reduced from 12.1 to 3.8 mm with a ratio of 68.7%, which suggests that the method is able to correct the abnormal signal of a north-seeking gyroscope sensor exposed to vibration. SN - 1424-8220 UR - https://www.unboundmedicine.com/medline/citation/31434313/Application_and_Optimization_of_Wavelet_Transform_Filter_for_North-Seeking_Gyroscope_Sensor_Exposed_to_Vibration L2 - http://www.mdpi.com/resolver?pii=s19163624 DB - PRIME DP - Unbound Medicine ER -