顾及GNSS星载原子钟噪声分量的卫星钟差估计方法OA
A Satellite Clock Bias Estimation Method Considering the Noise Component of GNSS Spaceborne Atomic Clocks
鉴于多系统卫星钟差估计易受多种噪声类型干扰的问题,提出一种充分考虑卫星钟噪声分量特性的估计模型.该模型采用滑动窗口与整体建模2种策略,借助哈达玛方差来解算噪声参数,并在此基础上开展钟差估计与精度评定工作.在实验环节,选取GPS、BDS-3、Galileo、GLONASS四大卫星导航系统中的多个具有代表性的卫星作为研究对象,对2类建模策略在不同系统以及不同卫星上的表现差异进行系统性对比分析.实验结果显示,BDS-3呈现出显著的星间差异特性.其中,大部分处于MEO轨道的卫星,其噪声时变特性更为突出,更适合采用滑动窗口建模策略;而对于部分采用MEO铷钟的卫星以及性能稳定的IGSO卫星,整体建模策略则更具优势.在Galileo方面,整体建模策略表现更优.对于GPS和GLONASS,采用滑动窗口建模策略后,在E、N、U三个方向上的定位精度相较于整体建模策略分别提升10.34%、17.07%、4.30%和6.27%、10.34%、3.76%.
Given the issue that multi-system satellite clock bias estimation is susceptible to interference from various noise types,an estimation model that fully considers the characteristics of satellite clock noise components is proposed.This model employs two strategies,namely sliding window and overall modeling,and utilizes the Hadamard variance to solve for noise parameters.Based on this,clock bias estimation and accuracy assessment are conducted.In the experimental section,multiple representa-tive satellites from the four major satellite navigation systems-GPS,BDS-3,Galileo,and GLONASS are selected as research subjects.A systematic comparative analysis is performed on the performance differences of the two modeling strategies across different systems and satellites.The experimental re-sults reveal that the BDS-3 exhibits significant inter-satellite variability.Specifically,most satellites in MEO demonstrate more pronounced time-varying noise characteristics,making them more suitable for the sliding modeling strategy.Conversely,for some satellites equipped with MEO rubidium clocks and stable IGSO satellites,the overall modeling strategy offers greater advantages.In the case of the Galileo,the global modeling strategy performs better.For the GPS and GLONASS,after adopting the sliding window strategy,the positioning accuracy in E,N,U directions improves by 10.34%,17.07%,and 4.30%,respectively,and by 6.27%,10.34%,and 3.76%,respectively,compared to the overall modeling strategy.
朱麟丰;王中元;胡超;杨嘉兴
中国矿业大学环境与测绘学院,徐州,221116中国矿业大学环境与测绘学院,徐州,221116安徽理工大学空间信息与测绘工程学院,淮南,232001中国矿业大学环境与测绘学院,徐州,221116
天文与地球科学
GNSS噪声分量哈达玛方差钟差估计精度评定
GNSSnoise componentHadamard varianceclock bias estimationaccuracy assessment
《大地测量与地球动力学》 2026 (5)
587-598,12
国家自然科学基金(42404015,42274048).
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