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Calibration Method for Large-Aperture Antenna Surface Measurement Based on Spatial Ranging Correction.

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Summary

This study introduces a novel space ranging correction method to calibrate FMCW laser scanning systems for satellite antennas. The new calibration significantly improves distance accuracy and 3D point cloud fidelity.

Keywords:
geometric structural errornonlinear optimisationoptical axis deviationspatial ranging correction

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Area of Science:

  • Optics and Photonics
  • Geodesy and Remote Sensing
  • Aerospace Engineering

Background:

  • High-precision measurement systems are crucial for satellite antenna calibration.
  • Existing methods for FMCW (Frequency Modulated Continuous Wave) laser scanning systems face accuracy limitations.
  • In-orbit calibration of large-aperture antennas for satellites like Fengyun-4 requires robust solutions.

Purpose of the Study:

  • To develop and validate a space ranging correction method for FMCW laser scanning measurement systems.
  • To address accuracy calibration issues in orbit for large-aperture satellite antennas.
  • To improve the precision and reliability of 3D spatial measurements.

Main Methods:

  • Established a comprehensive error model for the FMCW system, including 13 key parameters.
  • Utilized a calibration field with a high-precision reference scale and planar targets.
  • Applied spatial ranging correction and nonlinear least-squares optimization to estimate error parameters.
  • Implemented and validated a calibration scheme across multiple operational conditions.

Main Results:

  • Reduced the Root Mean Square (RMS) error in relative distance between two points from 17.5 mm to 2.3 mm.
  • Achieved an ICP (Iterative Closest Point) registration residual for spatial point clouds of 2.5 mm.
  • Improved point cloud shape fidelity by 86.6% post-calibration.
  • Demonstrated the method's effectiveness and generalization capability.

Conclusions:

  • The proposed space ranging correction method effectively calibrates FMCW laser scanning systems.
  • The technique significantly enhances measurement accuracy and point cloud quality for satellite applications.
  • This research offers a reliable approach for spatial 3D calibration of lidar systems.