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OA
Research on least squares-based dynamic parameter calibration method for low earth orbit satellite navigation signals
低轨卫星导航系统是无人机在复杂信道场景下实现定位导航的关键,其中动态参数的校准是其可靠性的重要保障.针对低轨卫星导航系统动态参数范围大的特点,采用基于最小二乘法的动态参数校准方法.仿真结果显示,相比于传统校准方法,基于最小二乘法的动态参数校准方法显著降低了校准结果的不确定度,提高了无人机定位结果的可靠性.
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.
赵明非;孙锴;顾林
工业和信息化部电子第五研究所,广州 511370工业和信息化部电子第五研究所,广州 511370工业和信息化部电子第五研究所,广州 511370
信息技术与安全科学
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
UAV positioningLEO satellite navigation signal simulatordynamic parametersleast squares method
《信息通信技术与政策》 2026 (4)
64-70,7
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