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Related Experiment Video

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A Protocol for Real-time 3D Single Particle Tracking

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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.

Keywords:

correction piecewise linear regression pointing error single-photon ranging theodolite

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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.