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Pointing Error Correction for Vehicle-Mounted Single-Photon Ranging Theodolite Using a Piecewise Linear Regression
Qingjia Gao1, Chong Wang1, Xiaoming Wang1
1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.
Sensors (Basel, Switzerland)
|May 25, 2024
Summary
A new digital correction method using piecewise linear regression significantly reduces pointing errors in vehicle-mounted single-photon ranging theodolites (VSRTs). This cost-effective approach enhances VSRT precision to the arc-second level.
Area of Science:
- Optics
- Metrology
- Geomatics
Background:
- Pointing error is a key performance indicator for vehicle-mounted single-photon ranging theodolites (VSRTs).
- Traditional high-precision pointing adjustments are often costly.
- Developing cost-effective error correction methods is crucial for VSRT applications.
Purpose of the Study:
- To propose and validate a cost-effective digital correction method for VSRT pointing errors.
- To analyze factors contributing to VSRT pointing inaccuracies.
- To enhance the pointing precision of VSRTs through a novel regression model.
Main Methods:
- Analysis of VSRT structure and pointing error influencing factors.
- Development of a physically meaningful piecewise linear regression model for error estimation.
- Calculation, evaluation, and application of the regression equation for error correction.
Main Results:
- The piecewise linear regression model accurately estimates VSRT pointing error.
- Dynamic accuracy testing demonstrated the method's efficacy.
- The root mean square (RMS) pointing error was reduced from 17″ to below 5″.
Conclusions:
- The proposed digital correction method is a cost-effective solution for VSRT pointing errors.
- The regression model successfully enhances VSRT pointing accuracy to the arc-second level.
- This technique offers a practical approach to improving VSRT performance.
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