Randomized trial demonstrates improved accuracy in satellite ground station calibration, indicating significant error reduction.
Key Points
This study aims to develop a calibration framework that compensates for positional inaccuracies in a satellite ground station using polynomial modeling.
Developed a calibration framework that uses external measurements from a laser tracker.
Implemented a two-stage procedure: univariate polynomial regressions fitted to dense slices, then applied Lagrange interpolation.
Calibrated system integrated with an X/Y encoder for tracking satellite signals.
Reduced maximum absolute position error from 0.105° to 0.031° for the X-axis.
Achieved a maximum absolute position error reduction of 79.20% on independent test datasets for the X-axis encoder.
Ensured residual position error within calibrated domain is bounded by 0.051°, complying with 0.1° budget.