Low Earth Orbit (LEO) satellite navigation systems are critical for the positioning and navigation of Unmanned Aerial Vehicles (UAVs) in complex channel environments

where the calibration of dynamic parameters serves as a fundamental guarantee for system reliability. Considering the wide-ranging dynamic parameters characteristic of LEO satellite navigation systems

this study adopts a dynamic parameter calibration method based on the least squares algorithm. Simulation results demonstrate that

compared with traditional calibration methods

the least squares-based calibration method significantly reduces the uncertainty of calibration outcomes and enhances the reliability of UAV positioning results.