GPS/GLONASS组合精密单点定位研究

讨论了GPS/GLONASS组合精密单点定位的数学模型,并以IRKJ跟踪站的观测数据为例,分别利用GPS和GPS/GLONASS组合两种方式进行精密单点定位解算。计算结果表明,当GPS观测卫星数较多(9~10颗)时,组合GPS/GLONASS较单系统GPS的精密单点定位精度及收敛速度有一定改善,但效果不明显。当GPS卫星数较少(4~5颗)时,引入GLONASS卫星进行GPS/GLONASS组合精密单点定位,其定位精度及收敛速度较单系统GPS精密单点均有显著改善。     

多GNSS融合精密轨道确定与精度分析

采用MGEX和IGS跟踪网数据,基于PANDA软件实现了同一时空基准框架下的GPS/GLONASS/BDS/Galileo四系统融合精密定轨,采用单天解边界不符值评定轨道精度。对2014年7月至12月6个多月的GNSS融合精密定轨精度、各单系统独立定轨精度进行比较,结果表明:GPS轨道精度与单系统定轨精度基本相当;GLONASS和BDS轨道精度均优于各单系统定轨精度,尤其是BDS卫星,其GEO、IGSO、MEO卫星平均三维轨道精度分别提高了24%、42%、63%;在多GNSS融合精密定轨中,Galileo卫星径向、法向、切向平均精度分别为9.53、8.20、20.17 cm。动态PPP验证结果表明:相比于单系统解算,多系统组合解可以显著加快收敛速度,同时提高了定位精度。     

GLOVE-A卫星精密定轨仿真研究

基于GPS系统的实测数据,在极为类似的条件下,仿真研究了GIOVE—A卫星的精密定轨问题。以IGS提供的GPS精密星历为时空基准,利用12个全球分布的跟踪站数据,在精确确定地面站坐标、精密时间同步以及确定对流层参数的基础上,进一步利用单颗GPS卫星仿真GIOVE-A卫星实施了精密轨道确定。结果显示,采用本文方法计算的单颗导航卫星轨道的三维位置精度优于50cm,径向精度达到了10cm。     

GPS/GLONASS组合精密单点定位性能分析

本文利用IGS 5个站的观测数据分7个时段进行了GPS/GLONASS组合精密单点定位计算,与单独GPS精密单点定位的结果在精度和收敛时间方面进行了性能比较。结果表明,在当前GPS卫星数量充足的情况下,增加少量的GLONASS卫星对定位精度的提高帮助不大,但能显著改善滤波收敛的时间。     

GPS/GLONASS组合导航中的数据融合

针对GPS/GLONASS组合导航中的时间系统与坐标系统不统一问题,本文分析了GLONASS卫星的广播星历格式、简化受力模型和星历计算方法,并给出了GPS/GLONASS组合导航的数据融合模型。     

一种GPS/GLONASS/INS数据融合算法

针对卫星导航系统和惯性导航系统(INS)的不同特性,提出了一种GPS/GLONASS/INS数据融合算法。采用差分自适应检测算法、改进码平均相位算法以及位置联合解算方法实现了GPS/GLONASS数据融合,借助于改进的粒子滤波器、INS误差模型建立系统状态方程和观测方程,完成GPS/GLONASS系统速度值和INS系统速度值数据融合,提高组合导航系统精度和可靠性。使用真实数据对数据融合算法性能进行仿真分析,结果表明所设计算法是有效的,能够处理非线性非高斯条件下的滤波估计,提高滤波精度和系统可靠性。     

顾及频率间偏差的GPS/GLONASS卫星钟差实时估计

GPS/GLONASS卫星钟差联合估计过程中，由于GLONASS系统采用频分多址技术区分卫星信号，因而会产生频率间偏差（IFB）^[1]。本文在GPS/GLONASS卫星定轨过程中的IFB参数特性分析的基础上，引入IFB参数，实现顾及频率间偏差的GPS/GLONASS卫星钟差实时估计。同时，为解决实时估计中待估参数过多导致的实时性较弱等问题，基于非差伪距观测值和历元间差分相位观测值改进实时估计数学模型，实现多系统卫星钟差的联合快速估计。结果表明：GPS/GLONASS联合估计时需引入IFB参数并优化其估计策略，采用MGEX和iGMAS跟踪站的实测数据进行实时钟差解算，快速估计方法可实现1.6 s逐历元快速、高精度估计，与GBM提供的最终精密卫星钟差相比，GPS卫星钟差实时精度约为0.210 ns，GLONASS卫星约为0.298 ns。     

GBM快速轨道产品及非差模糊度固定对其精度的改进

GNSS是实时定位导航最重要的方法,精密卫星轨道钟差产品是GNSS高精度服务的前提。国际GNSS服务中心(IGS)及其分析中心长期致力于GNSS数据处理的研究及高精度轨道和钟差产品的提供。GFZ作为分析中心之一,提供GBM多系统快速产品。本文基于2015—2021年GBM提供的精密轨道产品,阐述了数据处理策略,分析了轨道的精度,介绍了非差模糊度固定的原理和对精密定轨的影响。结果表明:GBM快速产品中的GPS轨道精度与IGS后处理精密轨道相比的精度约为11~13 mm,轨道6 h预报精度约为6 cm;GLONASS预报精度约为12 cm,Galileo在该时期的精度均值为10 cm,但是在2016年底以后精度提升到5 cm左右;北斗系统的中轨卫星(medium earth orbit,MEO)在2020年以后预报精度约为10 cm;北斗的静止轨道卫星(geostationary earth orbit,GEO)卫星和QZSS卫星的预报精度在米级;卫星激光测距检核表明,Galileo、GLONASS、BDS-3 MEO卫星轨道精度分别为23、41、47 mm;此外,采用150 d观测值的试验结果表明,采用非差模糊度固定能显著改善MEO卫星轨道精度,对GPS、GLONASS、Galileo、BDS-2和BDS-3的MEO卫星的6 h时预报精度改善率分别为9%~15%、15%~18%、11%~13%、6%~17%和14%~25%。     

GPS/GLONASS组合精密单点定位模型及结果分析

在GPS和GLONASS观测方程中考虑硬件延迟偏差的基础上,推导了GPS/GLONASS双系统组合精密单点定位的数学模型,并分析了硬件延迟偏差对估计的未知参数的影响。利用IGS跟踪站的观测数据和动态实验数据,对组合GPS/GLONASS精密单点定位模型进行了试算,并与GPS单系统精密单点定位的结果进行了比较。     

多系统GNSS卫星轨道快速积分方法

快速高效且高精度的轨道数值积分算法是多系统GNSS卫星联合快速精密定轨的重要基础。本文从自适应变换Admas积分步长和多卫星同步积分两方面研究了多系统GNSS卫星轨道快速积分方法。为了验证该方法的精度和效率,利用武汉大学(WHU)与欧洲定轨中心(CODE)发布的事后精密星历进行轨道动力学拟合。试验结果表明:GPS/GLONASS/BDS/Galileo 4个系统卫星平均三维RMS均优于20mm;在不损失传统方法精度的前提下,单颗卫星平均积分与拟合耗时仅需0.09s,较传统逐颗卫星固定步长积分算法提升了14倍,并且随着卫星数的增加,效率提升越明显。     

GNSS广播星历轨道和钟差精度分析

为了对多个全球导航卫星系统（global navigation satellite system, GNSS）当前的广播星历精度进行一个全面的分析,对比了2014—2018年共5 a的GNSS广播星历与精密星历,并对全球定位系统（global positioning system, GPS）、格洛纳斯卫星导航系统（global navigation satellite system, GLONASS）、伽利略卫星导航系统（Galileo satellite navigation system, Galileo）、北斗卫星导航系统（BeiDou navigation satellite system, BDS）、准天顶卫星系统（quasi-zenith satellite system, QZSS）等5个系统的广播星历长期精度变化进行了分析。结果表明:5 a中GPS的广播星历轨道及钟差精度最稳定;GLONASS的广播星历轨道精度稳定性较好,但其钟差精度存在较大的离散度;Galileo得益于具备全面运行能力（full operational capability, FOC）卫星的大量发射及运行,其广播星历轨道、钟差精度大幅度变好,切向轨道、法向轨道与钟差精度已赶超GPS;BDS的广播星历轨道精度离散度较大,钟差精度出现不稳定现象;QZSS的广播星历轨道与钟差精度的稳定性与离散度相对最差。以2018年1 a的广播星历与精密星历为例分析了各个系统当前的广播星历精度,结果表明,当前GPS、GLONASS、Galileo、BDS、QZSS的考虑轨道误差与钟差误差贡献的空间信号测距误差（signal-in-space ranging error,SISRE）分别为0.806 m、2.704 m、0.320 m、1.457 m、1.645 m,表明Galileo广播星历整体精度最高,GPS次之,其次分别是BDS、QZSS和GLONASS。只考虑轨道误差贡献的SISRE分别为0.167 m、0.541 m、0.229 m、0.804 m、0.675 m,表明GPS广播星历轨道精度最高,其次分别是Galileo、GLONASS、QZSS和BDS。GPS卫星广播星历中新型号卫星的钟差精度总体要优于旧型号卫星。     

北斗三号空间信号测距误差评估与对比分析

北斗三号作为我国自主建设的全球卫星导航系统,其本身性能水平以及与其他卫星导航系统的性能对比情况,对后续推广应用具有重要影响。为此,本文以空间信号测距误差（signal-in-space range error,SISRE）作为系统关键性能指标,以GFZ提供的多系统精密轨道钟差作为标准,给出了卫星轨道、卫星钟差、SISRE的比对评估方法,并以2020年1—3月共3个月的实测数据,验证了北斗三号相对北斗二号的精度改进情况,并重点分析了北斗三号与GPS、Galileo、GLONASS之间的性能对比关系。结果表明：无论是卫星轨道还是卫星钟差,北斗三号的精度水平相对北斗二号都有了明显提高;北斗三号卫星轨道在R、T、N方向精度分别达到0.07、0.30、0.26 m,在4个全球系统中处于最优水平;卫星钟差精度达到1.83 ns,基本与GPS系统持平,优于GLONASS,但还略差于Galileo;在空间信号测距误差方面,如果仅考虑轨道误差,北斗三号SISRE（orb）平均达到0.08 m,紧随其后,Galileo达到0.26 m,GPS达到0.57 m,GLONASS达到0.98 m。如果综合考虑轨道和钟差误差,北斗三号SISRE平均达到0.50 m,稍逊于Galileo的0.38 m,略优于GPS的0.58 m,明显好于GLONASS的2.35 m。     

GLONASS pseudorange inter-channel biases considerations when jointly estimating GPS and GLONASS clock offset

GLONASS clock offset estimation is affected by the inter-channel biases (ICBs) caused by frequency division multiple access technique. The effect of ICBs on joint GPS/GLONASS clock offset estimation is analyzed. An efficient approach for joint estimation of GPS/GLONASS satellite clock offset is applied to the generation of 30-s clock offset products. During the estimation, the following three ICB handling strategies were tested: calculating ICBs for each GLONASS signal channel, calculating ICBs for each GLONASS satellite and neglecting ICBs. The behavior of ICBs under different strategies was statistically stable. Subsequently, the clock offset products using different ICB strategies were evaluated. The evaluation shows that consideration of the ICB is important when estimating the clock offset. Furthermore, estimating one ICB for each GLONASS satellite is better than estimating one for each GLONASS signal channel because, with the former strategy, the clock offset products behave more smoothly and have higher accuracy compared with products from the International GNSS Service Analysis Center. In addition, precise point positioning, using clock offsets based on one ICB for each GLONASS satellite, has the highest positioning accuracy.     

GPS-assisted GLONASS orbit determination

 Using 1 week of data from a network of GPS/GLONASS dual-tracking receivers, 15-cm accurate GLONASS orbit determination is demonstrated with an approach that combines GPS and GLONASS data. GPS data are used to define the reference frame, synchronize receiver clocks and determine troposphere delay for the GLONASS tracking network. GLONASS tracking data are then processed separately, with the GPS-defined parameters held fixed, to determine the GLONASS orbit. The quality of the GLONASS orbit determination is currently limited by the size and distribution of the tracking network, and by the unavailability of a sufficiently refined solar pressure model. Temporal variations in the differential clock bias of the dual-tracking receivers are found to have secondary impact on the orbit determination accuracy. Received: 5 January 2000 / Accepted: 15 February 2001     

Modeling and assessment of combined GPS/GLONASS precise point positioning

A combination of GPS and GLONASS observations can offer improved reliability, availability and accuracy for precise point positioning (PPP). We present and analyze a combined GPS/GLONASS PPP model, including both functional and stochastic components. Numerical comparison and analysis are conducted with respect to PPP based on only GPS or GLONASS observations to demonstrate the benefits of the combined GPS/GLONASS PPP. The observation residuals are analyzed for more appropriate stochastic modeling for observations from different navigation systems. An analysis is also made using different precise orbit and clock products. The performance of the combined GPS/GLONASS PPP is assessed using both static and kinematic data. The results indicate that the convergence time can be significantly reduced with the addition of GLONASS data. The positioning accuracy, however, is not significantly improved by adding GLONASS data if there is a sufficient number of GPS satellites with good geometry.     

Characterization of Compass M-1 signals

An analysis of observations from China’s first medium earth orbit satellite Compass M-1 is presented, with main focus on the first orbit and clock solution for this satellite. The orbit is computed from laser ranging measurements. Based on this orbit solution, the apparent clock offset is estimated using measurements from two GNSS receivers, which allow Compass tracking. The analysis of the clock solutions reveals unexpectedly high dynamics in the pseudorange and carrier-phase observations. Furthermore, carrier-to-noise density ratio, pseudorange noise, and multipath are analyzed and compared to GPS and GIOVE. The results of the clock analysis motivate further research on the signals of the geostationary satellites of the Compass constellation.     

Impact of GLONASS pseudorange inter-channel biases on satellite clock corrections

GLONASS carrier phase and pseudorange observations suffer from inter-channel biases (ICBs) because of frequency division multiple access (FDMA). Therefore, we analyze the effect of GLONASS pseudorange inter-channel biases on the GLONASS clock corrections. Different Analysis Centers (AC) eliminate the impact of GLONASS pseudorange ICBs in different ways. This leads to significant differences in the satellite and AC-specific offsets in the GLONASS clock corrections. Satellite and AC-specific offset differences are strongly correlated with frequency. Furthermore, the GLONASS pseudorange ICBs also leads to day-boundary jumps in the GLONASS clock corrections for the same analysis center between adjacent days. This in turn will influence the accuracy of the combined GPS/GLONASS precise point positioning (PPP) at the day-boundary. To solve these problems, a GNSS clock correction combination method based on the Kalman filter is proposed. During the combination, the AC-specific offsets and the satellite and AC-specific offsets can be estimated. The test results show the feasibility and effectiveness of the proposed clock combination method. The combined clock corrections can effectively weaken the influence of clock day-boundary jumps on combined GPS/GLONASS kinematic PPP. Furthermore, these combined clock corrections can improve the accuracy of the combined GPS/GLONASS static PPP single-day solutions when compared to the accuracy of each analysis center alone.     

Rapid orbit determination of LEO satellites using IGS clock and ephemeris products

Different types of GPS clock and orbit data provided by the International GPS Service (IGS) have been used to assess the accuracy of rapid orbit determination for satellites in low Earth orbit (LEO) using spaceborne GPS measurements. To avoid the need for reference measurements from ground-based reference receivers, the analysis is based on an undifferenced processing of GPS code and carrier-phase measurements. Special attention is therefore given to the quality of GPS clock data that directly affects the resulting orbit determination accuracy. Interpolation of clock data from the available 15 min grid points is identified as a limiting factor in the use of IGS ultra-rapid ephemerides. Despite this restriction, a 10-cm orbit determination accuracy can be obtained with these products data as demonstrated for the GRACE-B spacecraft during selected data arcs between 2002 and 2004. This performance may be compared with a 5-cm orbit determination accuracy achievable with IGS rapid and final products using 5 min clock samples. For improved accuracy, high-rate (30 s) clock solutions are recommended that are presently only available from individual IGS centers. Likewise, a reduced latency and more frequent updates of IGS ultra-rapid ephemerides are desirable to meet the requirements of upcoming satellite missions for near real-time and precise orbit determination.