信息通信技术与政策2026，Vol.52Issue(4)：64-70,7.DOI:10.12267/j.issn.2096-5931.2026.04.008
基于最小二乘法的低轨卫星导航信号动态参数校准方法研究
Research on least squares-based dynamic parameter calibration method for low earth orbit satellite navigation signals
赵明非 1孙锴 1顾林1
作者信息
- 1. 工业和信息化部电子第五研究所,广州 511370
- 折叠
摘要
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.关键词
无人机定位/低轨卫星导航信号模拟器/动态参数/最小二乘法Key words
UAV positioning/LEO satellite navigation signal simulator/dynamic parameters/least squares method分类
信息技术与安全科学引用本文复制引用
赵明非,孙锴,顾林..基于最小二乘法的低轨卫星导航信号动态参数校准方法研究[J].信息通信技术与政策,2026,52(4):64-70,7.
