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Published on: May 1, 2018
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Advancing Ground-Based Radar Processing for Bridge Infrastructure Monitoring.
1Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.
Sensors (Basel, Switzerland)
|April 3, 2021
Summary
Advanced processing of ground-based interferometric radar measurements enables accurate bridge monitoring. This method removes external influences and achieves a measurement uncertainty of less than 0.1 mm for bridge displacement.
Area of Science:
- Geophysics
- Civil Engineering
- Remote Sensing
Background:
- Ground-based interferometric radar (GB-InSAR) is a valuable tool for structural health monitoring.
- Complex monitoring setups and long measurement durations necessitate robust data processing techniques.
- Accurate displacement measurements are crucial for assessing bridge integrity.
Purpose of the Study:
- To develop and validate advanced processing methods for GB-InSAR data in bridge monitoring.
- To enhance the accuracy and reliability of displacement measurements obtained from GB-InSAR.
- To quantify measurement uncertainty in the context of bridge structural analysis.
Main Methods:
- Development of signal processing algorithms to mitigate external influences such as moving objects, static clutter, and atmospheric changes.
- Implementation of techniques to decompose line-of-sight displacement vectors from multiple GB-InSAR sensors into three-dimensional displacement components.
- Application and validation of the advanced processing chain on a prestressed concrete bridge using two GB-InSAR sensors.
Main Results:
- Successful removal of external disturbances from GB-InSAR measurements.
- Determination of two components of the three-dimensional displacement vector.
- Achieved a measurement uncertainty of less than 0.1 mm for the bridge monitoring application.
Conclusions:
- The advanced processing methodology significantly improves the accuracy of GB-InSAR for bridge monitoring.
- The developed techniques effectively address common challenges in complex GB-InSAR applications.
- The achieved sub-millimeter measurement uncertainty demonstrates the potential of GB-InSAR for precise structural health assessment of bridges.
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