削弱电离层影响的三频TurboEdit周跳处理方法

针对电离层活跃期或磁暴发生时,现有三频周跳探测方法难以正确探测与修复周跳的问题,借鉴双频TurboEdit思想,提出了能够削弱电离层延迟影响的三频TurboEdit方法。该算法中的三频无几何无电离层码相组合和两次历元差分后的相位无几何组合,均能有效削弱电离层延迟对周跳探测的影响。随后利用三频实测数据对本文算法进行了验证,试验结果表明该方法能够消除电离层延迟影响,实现电离层活跃观测条件下动态非差周跳的实时探测与修复。     

一种改进的基于 BDS 三频非差观测的周跳实时探测与修复模型

BDS三频观测条件下可以组合得到具有优良特性的虚拟载波观测量,有利于改善非差观测数据的周跳实时探测与修复。文中提出一种基于BDS三频非差数据的周跳实时探测与修复模型:首先,采用消电离层无几何HMW组合观测量探测和修复EWL周跳;然后,将经过修复的EWL观测量与WL组合消除几何相关项,忽略电离层延迟残差进而确定WL周跳;最后采用经过修复的WL观测量与NL组合形成无几何观测量,并通过优化载波相位组合确定电离层延迟的变化量以探测和计算NL周跳,并通过简单变换得到原始载波观测量的周跳值。通过实测BDS三频数据对模型可行性进行验证分析,结果表明,即使在30s的采样率以及电离层活动活跃条件下,该模型都可有效实时探测和修复各类周跳。     

北斗三频消电离层组合周跳探测方法研究

为了实现在电离层活跃期对北斗三频观测值的周跳探测,在分析北斗三频观测值特性的基础上,推导并提出一种无几何无电离层组合周跳探测新方法,针对该方法存在不敏感周跳的问题,结合二次历元间差分的无几何相位组合法,对北斗三频观测数据进行周跳探测。并利用电离层高度活跃时期的观测数据对该方法进行验证,实验结果表明,该方法可以在强电离层影响下探测0~4周的小周跳,可考虑将其应用到北斗三频实时导航定位的周跳处理中。     

利用无几何消电离层组合实现北斗三频周跳探测与修复

针对强电离层延迟影响周跳探测与修复精度的问题,本文基于北斗三频数据特性构建了无几何消电离层组合,并对其组合系数进行了筛选。然后,联合MW（Melbourne-Wbbena）组合和电离层残差法构建周跳检验量实现对北斗三频实测数据的周跳探测与修复。在试验过程中通过设置不同类型的周跳组合对本文算法进行全面有效地检验。试验结果表明：本文算法能够探测出所有大小的周跳,包括不敏感周跳,并能将其完整地修复。     

北斗三频非差观测值的电离层周跳探测与修复

针对历元间隔较大或电离层延迟较大的情况,采用两个无几何相位组合与一个最优无几何无电离层组合形成3个线性无关的探测量,将历元间高次差法引用到无几何相位组合探测量中,通过选取合适的探测阈值,使无几何相位组合能够正确探测到较大电离层影响情况下的不敏感周跳。此外,文中采用了一种特殊的无几何无电离组合观测量进行辅助修复,通过两次取整保证了周跳修复的准确性,避免了传统三频周处理中的搜索算法造成错误修复的问题,试验表明,文中算法可以正确探测与修复较大电离层影响情况下不同北斗卫星星座类型的所有小周跳组合以及不敏感周跳组合。     

基于北斗三频数据的周跳探测与修复

针对三频伪距相位法和无几何相位法通常受电离层影响较大的问题,对其进行改进。选取弱电离层影响、低噪声的组合观测值,分析两种方法共同的不敏感周跳组合;采用LAMBDA方法搜索周跳固定解;采用北斗实测数据进行验证分析。结果表明:除两个不敏感周跳组合外,改进后的算法能探测并修复出1周以上的所有周跳。     

GPS三频无几何相位组合周跳探测与修复

随着GPS现代化的实施和L5频率的开设,GPS进入了三频时代。相对于双频观测数据三频观测值线性组合可以形成更多长波长、弱电离层、低噪声的组合。本文分析了GPS三频无几何相位组合的特性,利用两个GPS三频无几何相位组合和一个三频伪距载波组合组成观测矩阵探测周跳,并采用搜索方法确保周跳修复的正确。最后利用模拟的L5观测数据进行验证,结果表明该算法可以有效地探测并修复周跳。     

利用北斗三频非差数据进行周跳实时探测与修复

结合我国北斗导航卫星系统的特点,通过对三频数据进行线性最优组合来有效探测和修复各类周跳。应用了5种线性几何无关组合并基于三步法进行周跳探测。对于探测到的不同周跳,通过特定的三频载波相位线性组合进行有效的分辨和修复,最后基于北斗三频实测数据,针对不同电离层延迟变化水平,分别就1s、15s、30s不同采样间隔下的周跳探测和修复能力进行了验证,取得了较优的结果。     

基于数据质量分析的TECR周跳处理算法

针对电离层活跃期或磁暴发生时,现有周跳探测算法未能正确探测并修复周跳的问题,提出了基于数据质量分析的电离层总电子含量变化率（以下简称电离层速率,TECR）拟合残差算法。通过对电离层拟合残差进行数据质量分析,可自适应确定最优拟合历元数,利用此历元数拟合得到的TECR拟合值可有效削弱电离层延迟影响。为保证周跳修复的准确性,采用搜索再判定与TECR补充检测方法对周跳修复值进行验证与确认。通过高电离层延迟条件下的实测数据对本文算法进行验证分析,实验结果表明该方法能够消除电离层延迟影响,实现电离层活跃期时的周跳探测与修复。     

基于伪距相位和STPIR组合的北斗三频周跳探测与修复

GNSS周跳探测中,电离层残差法的适用性受数据采样间隔的影响较大,同时联合其它组合观测量进行周跳修复时,周跳修复方程组易出现病态解。针对这些问题,文中提出一种可靠的北斗三频周跳探测与修复算法,通过构造北斗三频电离层残差组合观测量,进行二阶历元间差分,基于三频伪距相位组合优选理论,选取适用于北斗三频数据的伪距相位组合,结合两种组合观测量,优选条件数较小的组合系数矩阵进行周跳修复,最后通过北斗三频实测数据验证,结果表明:在数据采样间隔较大的情况下,利用构建的三个组合观测量可以探测出北斗三频原始数据中的所有周跳,具有很好的修复效果。     

GPS现代化后电离层折射误差高阶项的三频改正方法

研究了电离层对GPS观测信号的主要影响及电离层折射误差模型,总结了电离层双频改正模型。针对GPS现代化中增加的第三频率,系统推导了三个频率的电离层改正模型及相位观测值无电离层组合(LC组合)模型。该模型将电离层折射误差模型改正至二阶项,可进一步提高GPS定位精度,同时,为GPS定位中其他误差的改正及分离、周跳的探测等提供了有力的技术手段。     

A new automated cycle slip detection and repair method for a single dual-frequency GPS receiver

This paper develops a new automated cycle slip detection and repair method that is based on only one single dual-frequency GPS receiver. This method jointly uses the ionospheric total electron contents (TEC) rate (TECR) and Melbourne–Wübbena wide lane (MWWL) linear combination to uniquely determine the cycle slip on both L1 and L2 frequencies. The cycle slips are inferred from the information of ionospheric physical TECR and MWWL ambiguity at the current epoch and that at the previous epoch. The principle of this method is that when there are cycle slips, the MWWL ambiguity will change and the ionospheric TECR will usually be significantly amplified, the part of artificial TECR (caused by cycle slips) being significantly larger than the normal physical TECR. The TECR is calculated based on the dual-frequency carrier phase measurements, and it is highly accurate. We calculate the ionospheric change information (including TECR and TEC acceleration) using the previous epochs (30 epochs in this study) and use the previous data to predict the TECR for the epoch needing cycle slip detection. If the discrepancy is larger than our defined threshold 0.15 TECU/s, cycle slips are regarded to exist at that epoch. The key rational of method is that during a short period (1.0 s in this study) the TECR of physical ionospheric phenomenon will not exceed the threshold. This new algorithm is tested with eight different datasets (including one spaceborne GPS dataset), and the results show that the method can detect and correctly repair almost any cycle slips even under very high level of ionospheric activities (with an average Kp index 7.6 on 31 March 2001). The only exception of a few detected but incorrectly repaired cycle slip is due to a sudden increased pseudorange error on a single satellite (PRN7) under very active ionosphere on 31 March 2001. This method requires dual-frequency carrier phase and pseudorange data from only one single GPS receiver. The other requirement is that the GPS data rate ideally is 1 Hz or higher in order to detect small cycle slips. It is suitable for many applications where one single receiver is used, e.g. real-time kinematic rover station and precise point positioning. An important feature of this method is that it performs cycle slip detection and repair on a satellite-by-satellite basis; thus, the cycle slip detection and repair for each satellite are completely independent and not affected by the data of other satellites.     

一种顾及电离层约束的非差周跳的实时探测与修复方法

提出了一种顾及电离层约束的非差周跳实时探测与修复方法。通过构造3个线性无关的组合观测量,按逐级模糊度确定的思路,分别对超宽巷、宽巷和窄巷进行探测与修复;然后联合三步的探测结果,将周跳恢复到原始载波值上。在宽巷组合上进行了改进,将宽巷波长放大了5.34倍(GPS为3.4倍),由于窄巷波长较短需考虑电离层的影响,对不敏感周跳组合引入电离层残差法辅助窄巷的探测与修复。实验结果表明,该方法能够有效地进行周跳的实时探测和修复。     

Cycle slip detection and repair for undifferenced GPS observations under high ionospheric activity

We develop a new approach for cycle slip detection and repair under high ionospheric activity using undifferenced dual-frequency GPS carrier phase observations. A forward and backward moving window averaging (FBMWA) algorithm and a second-order, time-difference phase ionospheric residual (STPIR) algorithm are integrated to jointly detect and repair cycle slips. The FBMWA algorithm is proposed to detect cycle slips from the widelane ambiguity of Melbourne–Wübbena linear combination observable. The FBMWA algorithm has the advantage of reducing the noise level of widelane ambiguities, even if the GPS data are observed under rapid ionospheric variations. Thus, the detection of slips of one cycle becomes possible. The STPIR algorithm can better remove the trend component of ionospheric variations compared to the normally used first-order, time-difference phase ionospheric residual method. The combination of STPIR and FBMWA algorithms can uniquely determine the cycle slips at both GPS L ₁ and L ₂ frequencies. The proposed approach has been tested using data collected under different levels of ionospheric activities with simulated cycle slips. The results indicate that this approach is effective even under active ionospheric conditions.