IFCB时变特性约束的多频GPS/Galileo/BDS-3的PPP算法  

PPP algorithm for multi-frequency GPS/Galileo/BDS-3 with IFCB time-varying characteristic constraints

作　　者：路阳阳 祝会忠[1] 李博[1] 李军[1] 徐爱功[1] LU Yangyang;ZHU Huizhong;LI Bo;LI Jun;XU Aigong(School of Geomatics,Liaoning Technical University,Fuxin 123000,China)

机构地区：[1]辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000

出　　处：《测绘学报》2025年第2期233-247,共15页Acta Geodaetica et Cartographica Sinica

基　　金：国家自然科学基金(42030109;42074012);辽宁省“兴辽英才计划”项目(XLYC2203162)。

摘　　要：多频高精度定位中需要考虑新频率对定位性能的影响。传统相位频间钟偏差(inter frequency clock bias,IFCB)处理方法受制于参考站数量,且与接收机和卫星相关的硬件延迟相关,影响多频精密单点定位(precision point positioning,PPP)的可靠性和准确性。针对IFCB对多全球导航卫星系统(global navigation satellite system,GNSS)多频PPP的影响,本文提出了基于测站IFCB观测值提取功率谱密度(power spectral density,PSD)的算法,进一步构建IFCB参数时变特性约束的多频PPP算法,并全面分析了IFCB的时变特性和不同IFCB模型对非差非组合PPP性能的影响。试验结果表明:依据测站IFCB观测值提取IFCB功率谱密度可行且有效。相较于忽略IFCB方法,采用PSD约束的随机模型估计IFCB,PPP在收敛时间提升最大,提升46.51%,采用iGMAS产品和CNES产品平均提升43.54%、34.50%,三维定位精度分别提升41.68%、32.24%、24.64%。并且,将IFCB采用时变特性约束的随机模型参数优化方案能真实地反映IFCB变化。因此,在多GNSS多频PPP处理中,将IFCB参数采用时变特性约束的随机模型参数优化方案能够加快位置收敛速度,提升定位精度,优于产品改正方法,更有利于实时多频PPP的应用。The influence of the third frequency on the positioning model needs to be considered in multi-frequency high-precision positioning.The current traditional inter frequency clock bias(IFCB)estimation method is not well adapted to real-time applications,and the reliability and accuracy are limited by the number of stations in the reference network,so the study of IFCB parameters is crucial.In this paper,we focus on studying and analyzing the impact of IFCB on multi-frequency PPP of multi-GNSS,propose a multi-frequency PPP algorithm considering the constraints of time-varying characteristics of IFCB parameters,proposed an algorithm for extracting power spectral density based on station IFCB observations,and comprehensively analyze the time-varying characteristics of IFCB and the impacts of different IFCB models on the performance of un-differential and un-combined PPP.The experimental results show that it is feasible and efficient to extract the IFCB power spectral density using station IFCB observations.Compared with the ignoring IFCB method,the PPP has the largest improvement in convergence time by 46.51%using the random walk process estimation IFCB considering the constraints of PSD,and the average improvement by 43.54%and 34.50%using the iGMAS product and CNES product,and the 3D positioning accuracy by 41.68%,32.24%and 24.64%,respectively.The adoption of power spectral density constrained IFCB parameters with IFCB time characteristics can truly reflect the IFCB changes.Therefore,in multi-GNSS multi-frequency PPP processing,a random model process that takes the IFCB parameters to be constrained by time-varying properties can speed up convergence and improve the positioning accuracy,which is better than the product correction method and more conducive to the application of real-time multi-frequency PPP.

关 键 词：三频 PPP 多GNSS 随机游走 IFCB 时变特征 

分 类 号：P228[天文地球—大地测量学与测量工程]