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1.
在进行GPS/GLONASS联合卫星钟差估计时,GLONASS码频间偏差(inter-frequency bias,IFB)因卫星频率间的差异而无法被测站接收机钟差参数吸收,其一部分将进入GLONASS卫星钟差估值中。通过引入多个"时频偏差"参数(inter-system and inter-frequency bias,ISFB)及附加基准约束对测站GLONASS码IFB进行函数模型补偿,实现其与待估卫星钟差参数的有效分离,并对所估计实时卫星钟差和实时精度单点定位(real-time precise point positioning,RT-PPP)进行精度评估。结果表明,在卫星钟差估计观测方程中忽略码IFB,会明显降低GLONASS卫星钟差估值精度;新方法能有效避免码IFB对卫星钟差估值的影响,所获得GPS、GLONASS卫星钟差与ESA(European Space Agency)事后精密钟差产品偏差平均均方根值分别小于0.2 ns、0.3 ns。利用实时估计卫星钟差进行静态RT-PPP,当观测时段长为2 h时,GPS单系统、GPS/GLONASS组合系统的3D定位精度优于10 cm,GLONASS单系统3D定位精度约为15 cm;三种模式24 h单天解的3D定位精度均优于5 cm。  相似文献   

2.
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   

3.
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   

4.
卫星实时钟差求解是GNSS实时位置服务的关键。针对GNSS实时钟差估计过程中待估参数过多的问题,综合高精度估计的非差法与快速解算的历元间差分法优势,采用顾及ISB/IFB参数的GNSS卫星钟差实时混合估计方法,对卫星钟差的实时估计效率、估计精度进行分析,并利用精密单点定位对实时钟差产品进行验证。结果满足高精度导航定位用户的需求。  相似文献   

5.
卫星钟差是影响卫星定位精度的重要误差源之一,而实时精密单点定位又要求卫星钟差实时更新。卫星钟差的解算可通过非差模型或历元差分模型实现,但非差模型涵盖较多的载波相位模糊度参数,相比消掉模糊度参数的历元差分模型,计算效率要慢许多。历元差分模型仅利用载波相位观测量就可获得高精度卫星钟差历元间差,恢复后的卫星钟差仍可达到一定精度水平。利用历元差分模型可实现北斗卫星钟差的实时解算,试验结果表明:通过滤波得到的卫星钟差历元间差精度优于0.02 ns,恢复后的卫星钟差精度优于0.25 ns.   相似文献   

6.
为更快地获取高可靠性、高精度的天顶对流层延迟,提出了选择历元间差分与非差组合模型为函数模型,对BDS/GPS钟差参数采用近实时方式进行估计。为此,从全球范围内均匀选取45个MGEX跟踪站,使用GFZ的超快速轨道产品为钟差估计提供初始轨道信息,并以事后产品为参考值。试验结果表明,GPS实时钟差的精度优于0.06 ns,略低于事后钟差估计精度,三类BDS卫星的实时钟差估计精度均在0.04~0.08 ns,其中GEO卫星的准实时钟差精度略低于IGSO和MEO卫星,满足近实时天顶对流层延迟估计的需求。  相似文献   

7.
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   

8.
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   

9.
段举举  沈云中 《测绘学报》2012,41(6):825-830
论文介绍了GPS/GLONASS组合静态相位相对定位模型,将GLONASS双差观测方程的模糊度参数表示成参考卫星的单差模糊度和双差模糊度参数;用误差分析法证明了单差模糊度按实参数估计不影响基线解算精度,而GLONASS双差模糊度必须按整参数进行解算;用Helmert方差分量估计确定GPS和GLONASS观测值的合理权比。实际观测数据处理结果表明:GPS/GLONASS组合定位较单一系统解算的基线精度均有提高,尤其比GLONASS单系统的解算精度有显著提高,比GPS单系统的精度也有适当提高,其中单历元基线解算精度约提高了10%,当单一系统的可用卫星数少于4颗时,GPS/GLONASS组合定位更具有应用价值。  相似文献   

10.
对基于历元间差分相位和非差伪距观测值的混合差分卫星钟差估计方法进行了改进,实现了多模全球导航卫星系统(Global Navigation Satellite System,GNSS)卫星钟差联合快速估计。选择了全球分布的50个跟踪站进行实验,对卫星钟差精度进行了分析和精密单点定位(Precise Point Positioning,PPP)验证。结果表明:多模卫星钟差与武汉大学提供的最终精密卫星钟差互差优于0.2 ns,精密单点定位结果与武汉大学发布的最终精密卫星轨道和钟差产品的定位精度相当。  相似文献   

11.
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   

12.
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   

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.
Yao  Yibin  Hu  Mingxian  Xu  Xiayan  He  Yadong 《GPS Solutions》2017,21(4):1871-1882
GPS Solutions - GLONASS double-differenced (DD) ambiguity resolution is hindered by the inter-frequency bias (IFB) in GLONASS observation. We propose a new algorithm for IFB rate estimation to...  相似文献   

15.
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   

16.
Due to the different signal frequencies for the GLONASS satellites, the commonly-used double-differencing procedure for carrier phase data processing can not be implemented in its straightforward form, as in the case of GPS. In this paper a novel data processing strategy, involving a three-step procedure, for integrated GPS/GLONASS positioning is proposed. The first is pseudo-range-based positioning, that uses double-differenced (DD) GPS pseudo-range and single-differenced (SD) GLONASS pseudo-range measurements to derive the initial position and receiver clock bias. The second is forming DD measurements (expressed in cycles) in order to estimate the ambiguities, by using the receiver clock bias estimated in the above step. The third is to form DD measurements (expressed in metric units) with the unknown SD integer ambiguity for the GLONASS reference satellite as the only parameter (which is constant before a cycle slip occurs for this satellite). A real-time stochastic model estimated by residual series over previous epochs is proposed for integrated GPS/GLONASS carrier phase and pseudo-range data processing. Other associated issues, such as cycle slip detection, validation criteria and adaptive procedure(s) for ambiguity resolution, is also discussed. The performance of this data processing strategy will be demonstrated through case study examples of rapid static positioning and kinematic positioning. From four experiments carried out to date, the results indicate that rapid static positioning requires 1 minute of single frequency GPS/GLONASS data for 100% positioning success rate. The single epoch positioning solution for kinematic positioning can achieve 94.6% success rate over short baselines (<6 km).  相似文献   

17.
1 IntroductionReal_timekinematicGPSprecisepositioninghasbeenplayinganincreasingroleinbothsurveyingandnavigation ,andhasbecomeanessentialtoolforpreciserelativepositioning .However,reliableandcorrectambiguityresolutiondependsonobserva tionsuponalargenumbe…  相似文献   

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