Application and Optimization of Wavelet Transform Filter for North-Seeking Gyroscope Sensor Exposed to Vibration
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 w...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/16/3624 |
| _version_ | 1798026166222716928 |
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| author | Ji Ma Zhiqiang Yang Zhen Shi Xuewei Zhang Chenchen Liu |
| author_facet | Ji Ma Zhiqiang Yang Zhen Shi Xuewei Zhang Chenchen Liu |
| author_sort | Ji Ma |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T18:30:59Z |
| format | Article |
| id | doaj.art-71b4fafe74b645d3bbc2904d8200f562 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T18:30:59Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-71b4fafe74b645d3bbc2904d8200f5622022-12-22T04:09:27ZengMDPI AGSensors1424-82202019-08-011916362410.3390/s19163624s19163624Application and Optimization of Wavelet Transform Filter for North-Seeking Gyroscope Sensor Exposed to VibrationJi Ma0Zhiqiang Yang1Zhen Shi2Xuewei Zhang3Chenchen Liu4School of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, ChinaSchool of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, ChinaSchool of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, ChinaSchool of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, ChinaSchool of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, ChinaConventional 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.https://www.mdpi.com/1424-8220/19/16/3624north-seeking gyroscopewavelet transformfiltering de-noisingmagnetic levitation gyroscope (GAT)time frequency analysis |
| spellingShingle | Ji Ma Zhiqiang Yang Zhen Shi Xuewei Zhang Chenchen Liu Application and Optimization of Wavelet Transform Filter for North-Seeking Gyroscope Sensor Exposed to Vibration Sensors north-seeking gyroscope wavelet transform filtering de-noising magnetic levitation gyroscope (GAT) time frequency analysis |
| title | Application and Optimization of Wavelet Transform Filter for North-Seeking Gyroscope Sensor Exposed to Vibration |
| title_full | Application and Optimization of Wavelet Transform Filter for North-Seeking Gyroscope Sensor Exposed to Vibration |
| title_fullStr | Application and Optimization of Wavelet Transform Filter for North-Seeking Gyroscope Sensor Exposed to Vibration |
| title_full_unstemmed | Application and Optimization of Wavelet Transform Filter for North-Seeking Gyroscope Sensor Exposed to Vibration |
| title_short | Application and Optimization of Wavelet Transform Filter for North-Seeking Gyroscope Sensor Exposed to Vibration |
| title_sort | application and optimization of wavelet transform filter for north seeking gyroscope sensor exposed to vibration |
| topic | north-seeking gyroscope wavelet transform filtering de-noising magnetic levitation gyroscope (GAT) time frequency analysis |
| url | https://www.mdpi.com/1424-8220/19/16/3624 |
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