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1.
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。  相似文献   

2.
在分析传统GPS/GLONASS组合PPP数学模型中忽略GLONASS码IFB不足的基础上,提出一种基于"多参数"的组合PPP与码IFB估计算法。将"频间偏差"与"系统时差"参数进行合并,通过引入多个独立的"时频偏差"参数对组合PPP中的GLONASS码IFB进行函数模型补偿,同时可实现基于单个测站观测数据的码IFB精确估计。对配备6种GNSS品牌接收机的30个IGS站实测数据进行GLONASS码IFB估计与分析。结果表明:各品牌接收机不同频率通道的GLONASS码IFB可达数米,且表现出与频率的明显相关性,但难以通过简单函数建模为其提供精确的先验改正值;相同品牌接收机的GLONASS码IFB整体上具有相似的特性,而在个别测站会表现出异常特征;即使接收机类型、固件版本及天线类型完全相同的测站,GLONASS码IFB值也可能存在显著差异。新算法能实现对GLONASS码IFB的有效补偿,明显加快组合PPP的收敛速度。虽然引入多个附加参数会导致函数模型自由度减小,但对定位精度的影响有限,与传统"单参数"法进行组合PPP的定位精度相当。  相似文献   

3.
通过2018年1月多全球卫星导航系统(GNSS)实验(MGEX)的十个测站数据,采用无电离层模型和非差非组合模型,对单系统、双系统和四系统精密单点定位(PPP)进行定位性能分析,定位性能包括收敛时间和定位精度. 实验结果表明,两种PPP模型定位性能相当,但优于单频PPP,在E、N和U方向收敛时间缩短20 min左右,定位精度提高1.6 cm左右;联合多系统能够增加卫星数,改善卫星间几何构型,提升PPP的定位性能. 对GLONASS伪距频间偏差(IFB)采用估计每颗GLONASS卫星的伪距IFB模型和伪距IFB为频率二次多项式模型提升PPP的定位性能,结果表明估计每颗GLONASS卫星的伪距IFB模型要优于伪距IFB为频率二次多项式模型,估计伪距IFB相比忽略伪距IFB在PPP定位性能上有不同程度的提升.   相似文献   

4.
实时GLONASS相位频间偏差粒子群优化估计方法   总被引:1,自引:0,他引:1  
针对GLONASS相位频间偏差与模糊度线性相关所导致的难以对两者进行快速分离的问题,提出了一种实时GLONASS相位频间偏差估计方法。通过分析相位IFB与RATIO值之间的关系,将相位IFB估计问题归结为求解最优化问题,并将优化方法中的粒子群优化算法引入相位IFB估计中,该方法可在不增加待估参数数量以及先验信息的条件下,高效可靠地搜索出IFB变化率参数,实现GLONASS模糊度实时固定。测试结果表明,该方法在单历元解算条件下每历元平均搜索次数为32次,远低于基于粒子滤波的相位频间偏差估计方法的200次;在采用Kalman滤波方法进行解算条件下,每历元平均搜索次数仅为9次。无论采用单历元解还是滤波解,模糊度固定成功率均高于96.2%,模糊度固定解的最大坐标偏差均小于4 cm。  相似文献   

5.
多全球导航卫星系统(Global Navigation Satellite System,GNSS)系统联合精密定轨需要考虑系统间及频率间偏差的影响。推导了多GNSS定轨系统间偏差(inter system bias,ISB)/频率间偏差(inter frequency bias,IFB)解算模型,以GPS系统硬件延迟为基准,给出了一种消除ISB/IFB秩亏的约束方法。试验数据结果表明,各系统ISB/IFB均表现出良好的稳定性及同一系统各卫星时间序列的一致性,BDS ISB的标准差为0.36 ns,Galileo ISB的标准差为0.18 ns,GLONASS IFB的标准差为0.51 ns;在接收机类型相同的情况下,不同跟踪站的ISB比较接近,但仍可达到ns级差异;GLONASS IFB在同一跟踪站相同频道号的卫星及不同跟踪站相同频道号卫星均表现出了良好的一致性。  相似文献   

6.
GNSS增强系统中精密实时钟差高频估计及应用研究   总被引:1,自引:0,他引:1  
GNSS星基差分增强系统依赖于实时轨道及钟差增强信息。本文主要研究多GNSS实时精密钟差估计模型,在传统非差基础上优化待估参数,实现了一种高效的Multi-GNSS实时钟差简化估计模型。基于PANDA软件开展了实时轨道数据处理与分析,经过验证可获得的GPS/北斗MEO/Galileo实时轨道径向精度1~5cm,北斗GEO/IGSO卫星径向精度约10cm。分析发现本文优化的实时钟差简化估计模型单历元解算效率较高,可应用于实时钟差增强信息高频(如1Hz)更新,且解算获得的实时钟差不存在常偏为绝对钟差;基于实时轨道,通过该模型可获得实时钟差精度GPS约0.22ns,北斗GEO约0.50ns、IGSO/MEO约0.24ns,Galileo约0.32ns。在此基础上,利用目前所获取的MultiGNSS实时数据流搭建了Multi-GNSS全球实时增强原型系统,并基于互联网实时播发增强信息,可初步实现实时PPP厘米级服务、伪距米级导航定位服务。  相似文献   

7.
基于GNSS(global navigation satellite system)非差观测量,利用双线程钟差加密的方法,本文实现了导航卫星实时钟差的逐秒更新。通过选取全球均匀分布的76个参考站对四系统钟差进行联合估计,并从实时轨道精度,解算效率,钟差精度和精密单点定位(precision point positioning,PPP)定位结果对该系统进行分析和评估。结果表明,GPS预报轨道径向精度为2.3 cm,GLONASS和Galileo预报轨道径向精度为3 cm和3.5 cm,北斗GEO、IGSO、MEO卫星预报轨道径向精度分别为31 cm,17 cm和5.3 cm;钟差统计结果表明,GPS实时钟差精度优于0.2 ns,GLONASS钟差精度优于0.4 ns,Galileo钟差精度优于0.3 ns,受轨道影响,北斗GEO实时钟差精度为0.6~1.0 ns,IGSO钟差精度为0.4~0.7 ns,MEO钟差精度为0.3~0.4 ns;PPP定位结果表明,解算钟差定位精度与事后钟差定位结果相当,平面精度在3 cm以下,高程精度在5 cm以下。  相似文献   

8.
为估算与分析GNSS卫星钟差的精度,利用中国测绘科学研究院国际GNSS监测评估系统分析中心研发的软件,采用全球均匀分布的50个IGS跟踪站和8个我国自建的IGMAS测站的观测数据,对GNSS包含的四大导航系统事后精密卫星钟差进行了估计。计算结果分别与国际上的分析中心结果进行了比对,得出GPS卫星钟差与IGS结果互差在0.2ns,GALILEO卫星钟差精度与GPS相当,在亚纳秒量级,GLONASS卫星钟差精度相对较低,在4ns以内,BDS各轨道类型上卫星之间钟差存在较大的系统性偏差,选择多星基准消除偏差之后,估算的北斗卫星钟差精度在1ns以内。试验结果表明,目前我国分析中心估算的卫星钟差总体上与国际IGS各分析中心估计的卫星钟差精度相当。  相似文献   

9.
本文选取了均匀分布于澳大利亚的6个IGS跟踪站,用序贯最小二乘法进行参数估计,利用从MGEX下载的最终轨道和钟差产品进行GPS RT-PPP、BDS RT-PPP、GPS+BDS RT-PPP静态测站仿真实时解算,得出所有测站的定位性能数据。实验表明:在澳大利亚地区,GPS RT-PPP和GPS+BDS RT-PPP在E、N方向平均定位精度可以达到5 cm,且在20 min左右即可完成收敛,在U方向平均定位精度可达10 cm,收敛时间为25 min左右;该地区的BDS RT-PPP定位精度低于前两者,在E、N方向平均定位精度可以达到10 cm,且收敛时间约为25 min,在U方向平均定位精度20 cm,收敛时间超过30 min,达到34 min。  相似文献   

10.
针对传统事后精密单点定位技术的时间延迟问题,该文基于IGS RTS实时数据流产品,开展了实时精密单点定位技术在远海实时GPS验潮中的应用研究.对RTS改正的实时精密卫星轨道和钟差进行了精度验证和分析,给出了RT-PPP的数据处理策略以及实时GPS验潮的基本流程;组织和实施了渤海湾船载GPS验潮试验,以压力式验潮仪数据为参考,对远距离实时GPS潮汐测量结果进行了精度分析.结果表明:①以IGS最终卫星轨道和钟差产品为参考,RTS实时精密卫星轨道在X、y、Z方向的精度(RMS)均优于3 cm,卫星钟差的精度优于0.15 ns;②采用傅里叶低通滤波方法,消除波浪对潮汐观测的影响,进一步提取潮位信息.在忽略船体姿态改正的情况下,实时精密单点定位验潮相对于压力式验潮仪结果的最大偏差优于20 cm,RMS达到7.5 cm.  相似文献   

11.
Multi-GNSS precise point positioning (MGPPP) using raw observations   总被引:5,自引:2,他引:3  
A joint-processing model for multi-GNSS (GPS, GLONASS, BDS and GALILEO) precise point positioning (PPP) is proposed, in which raw code and phase observations are used. In the proposed model, inter-system biases (ISBs) and GLONASS code inter-frequency biases (IFBs) are carefully considered, among which GLONASS code IFBs are modeled as a linear function of frequency numbers. To get the full rank function model, the unknowns are re-parameterized and the estimable slant ionospheric delays and ISBs/IFBs are derived and estimated simultaneously. One month of data in April, 2015 from 32 stations of the International GNSS Service (IGS) Multi-GNSS Experiment (MGEX) tracking network have been used to validate the proposed model. Preliminary results show that RMS values of the positioning errors (with respect to external double-difference solutions) for static/kinematic solutions (four systems) are 6.2 mm/2.1 cm (north), 6.0 mm/2.2 cm (east) and 9.3 mm/4.9 cm (up). One-day stabilities of the estimated ISBs described by STD values are 0.36 and 0.38 ns, for GLONASS and BDS, respectively. Significant ISB jumps are identified between adjacent days for all stations, which are caused by the different satellite clock datums in different days and for different systems. Unlike ISBs, the estimated GLONASS code IFBs are quite stable for all stations, with an average STD of 0.04 ns over a month. Single-difference experiment of short baseline shows that PPP ionospheric delays are more precise than traditional leveling ionospheric delays.  相似文献   

12.
GLONASS precise point positioning (PPP) performance is affected by the inter-frequency biases (IFBs) due to the application of frequency division multiple access technique. In this contribution, the impact of GLONASS pseudorange IFBs on convergence performance and positioning accuracy of GLONASS-only and GPS + GLONASS PPP based on undifferenced and uncombined observation models is investigated. Through a re-parameterization process, the following four pseudorange IFB handling schemes were proposed: neglecting IFBs, modeling IFBs as a linear or quadratic polynomial function of frequency number, and estimating IFBs for each GLONASS satellite. One week of GNSS observation data from 132 International GNSS Service stations was selected to investigate the contribution of simultaneous estimation of GLONASS pseudorange IFBs on GLONASS-only and combined GPS + GLONASS PPP in both static and kinematic modes. The results show that considering IFBs can speed up the convergence of PPP using GLONASS observations by more than 20%. Apart from GLONASS-only kinematic PPP, the positioning accuracy of GLONASS-only and GPS + GLONASS PPP is comparable among the four schemes. Overall, the scheme of estimating IFBs for each GLONASS satellite outperforms the other schemes in both convergence time reduction and positioning accuracy improvement, which indicates that the GLONASS IFBs may not strictly obey a linear or quadratic function relationship with the frequency number.  相似文献   

13.
The Global Navigation Satellite System presents a plausible and cost-effective way of computing the total electron content (TEC). But TEC estimated value could be seriously affected by the differential code biases (DCB) of frequency-dependent satellites and receivers. Unlike GPS and other satellite systems, GLONASS adopts a frequency-division multiplexing access mode to distinguish different satellites. This strategy leads to different wavelengths and inter-frequency biases (IFBs) for both pseudo-range and carrier phase observations, whose impacts are rarely considered in ionospheric modeling. We obtained observations from four groups of co-stations to analyze the characteristics of the GLONASS receiver P1P2 pseudo-range IFB with a double-difference method. The results showed that the GLONASS P1P2 pseudo-range IFB remained stable for a period of time and could catch up to several meters, which cannot be absorbed by the receiver DCB during ionospheric modeling. Given the characteristics of the GLONASS P1P2 pseudo-range IFB, we proposed a two-step ionosphere modeling method with the priori IFB information. The experimental analysis showed that the new algorithm can effectively eliminate the adverse effects on ionospheric model and hardware delay parameters estimation in different space environments. During high solar activity period, compared to the traditional GPS + GLONASS modeling algorithm, the absolute average deviation of TEC decreased from 2.17 to 2.07 TECu (TEC unit); simultaneously, the average RMS of GPS satellite DCB decreased from 0.225 to 0.219 ns, and the average deviation of GLONASS satellite DCB decreased from 0.253 to 0.113 ns with a great improvement in over 55%.  相似文献   

14.
Rapid PPP ambiguity resolution using GPS+GLONASS observations   总被引:1,自引:1,他引:0  
Integer ambiguity resolution (IAR) in precise point positioning (PPP) using GPS observations has been well studied. The main challenge remaining is that the first ambiguity fixing takes about 30 min. This paper presents improvements made using GPS+GLONASS observations, especially improvements in the initial fixing time and correct fixing rate compared with GPS-only solutions. As a result of the frequency division multiple access strategy of GLONASS, there are two obstacles to GLONASS PPP-IAR: first and most importantly, there is distinct code inter-frequency bias (IFB) between satellites, and second, simultaneously observed satellites have different wavelengths. To overcome the problem resulting from GLONASS code IFB, we used a network of homogeneous receivers for GLONASS wide-lane fractional cycle bias (FCB) estimation and wide-lane ambiguity resolution. The integer satellite clock of the GPS and GLONASS was then estimated with the wide-lane FCB products. The effect of the different wavelengths on FCB estimation and PPP-IAR is discussed in detail. We used a 21-day data set of 67 stations, where data from 26 stations were processed to generate satellite wide-lane FCBs and integer clocks and the other 41 stations were selected as users to perform PPP-IAR. We found that GLONASS FCB estimates are qualitatively similar to GPS FCB estimates. Generally, 98.8% of a posteriori residuals of wide-lane ambiguities are within \(\pm 0.25\) cycles for GPS, and 96.6% for GLONASS. Meanwhile, 94.5 and 94.4% of narrow-lane residuals are within 0.1 cycles for GPS and GLONASS, respectively. For a critical value of 2.0, the correct fixing rate for kinematic PPP is only 75.2% for GPS alone and as large as 98.8% for GPS+GLONASS. The fixing percentage for GPS alone is only 11.70 and 46.80% within 5 and 10 min, respectively, and improves to 73.71 and 95.83% when adding GLONASS. Adding GLONASS thus improves the fixing percentage significantly for a short time span. We also used global ionosphere maps (GIMs) to assist the wide-lane carrier-phase combination to directly fix the wide-lane ambiguity. Employing this method, the effect of the code IFB is eliminated and numerical results show that GLONASS FCB estimation can be performed across heterogeneous receivers. However, because of the relatively low accuracy of GIMs, the fixing percentage of GIM-aided GPS+GLONASS PPP ambiguity resolution is very low. We expect better GIM accuracy to enable rapid GPS+GLONASS PPP-IAR with heterogeneous receivers.  相似文献   

15.
Zhang  Xiaohong  Xie  Weiliang  Ren  Xiaodong  Li  Xingxing  Zhang  Keke  Jiang  Weiping 《GPS Solutions》2017,21(3):1355-1367
GPS Solutions - Due to the application of frequency division multiple access, the signals of GLONASS satellites suffer from code and carrier phase inter-frequency biases (IFBs). In this study, the...  相似文献   

16.
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.  相似文献   

17.
Integer ambiguity resolution (IAR) appreciably improves the position accuracy and shortens the convergence time of precise point positioning (PPP). However, while many studies are limited to GPS, there is a need to investigate the performance of GLONASS PPP ambiguity resolution. Unfortunately, because of the frequency-division multiple-access strategy of GLONASS, GLONASS PPP IAR faces two obstacles. First, simultaneously observed satellites operate at different wavelengths. Second and most importantly, distinct inter-frequency bias (IFB) exists between different satellites. For the former, we adopt an undifferenced method for uncalibrated phase delay (UPD) estimation and proposed an undifferenced PPP IAR strategy. We select a set of homogeneous receivers with identical receiver IFB to perform UPD estimation and PPP IAR. The code and carrier phase IFBs can be absorbed by satellite wide-lane and narrow-lane UPDs, respectively, which is in turn consistent with PPP IAR using the same type of receivers. In order to verify the method, we used 50 stations to generate satellite UPDs and another 12 stations selected as users to perform PPP IAR. We found that the GLONASS satellite UPDs are stable in time and space and can be estimated with high accuracy and reliability. After applying UPD correction, 91 % of wide-lane ambiguities and 99 % of narrow-lane ambiguities are within (?0.15, +0.15) cycles of the nearest integer. After ambiguity resolution, the 2-hour static PPP accuracy improves from (0.66, 1.42, 1.55) cm to (0.38, 0.39, 1.39) cm for the north, east, and up components, respectively.  相似文献   

18.
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.  相似文献   

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