Information and Communications Technology and Policy

Information and Communications Technology and Policy

Information and Communications Technology and Policy ›› 2026, Vol. 52 ›› Issue (4): 64-70.doi: 10.12267/j.issn.2096-5931.2026.04.008

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Research on least squares-based dynamic parameter calibration method for low earth orbit satellite navigation signals

ZHAO Mingfei, SUN Kai, GU Lin   

  1. China Electronic Product Reliability and Environmental Testing Research Institute, Guangzhou 511370, China
  • Received:2026-03-20 Online:2026-04-25 Published:2026-04-24

Abstract:

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.

Key words: UAV positioning, LEO satellite navigation signal simulator, dynamic parameters, least squares method

CLC Number: