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Application and Optimization of Wavelet Transform Filter for North-Seeking Gyroscope Sensor Exposed to Vibration
Ji Ma1, Zhiqiang Yang2, Zhen Shi1
1School of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, China.
Sensors (Basel, Switzerland)
|August 23, 2019
Summary
This study introduces an optimized wavelet transform filter to improve north-seeking gyroscope sensor accuracy under vibration. The new method significantly reduces lateral breakthrough errors in tunnel navigation by correcting abnormal signals.
Area of Science:
- Geodesy and Geophysics
- Sensor Technology
- Signal Processing
Background:
- North-seeking gyroscope sensors are crucial for navigation but susceptible to vibration-induced errors.
- Conventional wavelet transform (WT) filters struggle with optimal de-noising level determination for gyroscope signals.
- Vibrations can lead to significant lateral breakthrough errors in tunnel navigation systems.
Purpose of the Study:
- To propose an optimized wavelet transform (WT) filter specifically designed for magnetic levitation gyroscopes (GAT).
- To enhance the de-noising and signal correction capabilities for north-seeking gyroscope sensors operating under vibration.
- To validate the effectiveness of the proposed WT filter in a real-world tunnel navigation scenario.
Main Methods:
- Developed an optimized WT filter tailored for magnetic levitation gyroscope (GAT) applications.
- Collected gyro-observed signals from a mock-up network simulating tunnels of the Hong Kong–Zhuhai–Macau Bridge.
- Determined and validated optimal wavelet decomposed levels (6-10) using high-precision Global Navigation Satellite System (GNSS) data.
Main Results:
- The optimized WT filter demonstrated superior performance in de-noising and correcting gyroscope signals exposed to vibration.
- Lateral breakthrough error was reduced from 12.1 mm to 3.8 mm, a 68.7% improvement.
- The method effectively corrected abnormal signals, enhancing navigation accuracy.
Conclusions:
- The proposed optimized WT filter significantly improves the accuracy of north-seeking gyroscope sensors in vibratory environments.
- This method offers a viable solution for correcting abnormal signals and reducing navigation errors in challenging conditions like tunnel construction.
- The validated optimal wavelet decomposed levels provide a robust framework for gyroscope signal processing.
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