共查询到20条相似文献，搜索用时 437 毫秒
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采用GAMIT和GLOBK软件在ITRF框架下解算得到IGS连续观测站时间序列[1],针对汶川震区附近的IGS观测站时间序列进行分析。应用经验模态分解方法对IGS连续观测站时间序列进行全面分析,揭示汶川震区附近IGS连续观测站时间序列异常和趋势变化与汶川地震震后形变的关系。 相似文献
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IGS测站的非线性变化研究 总被引：1，自引：0，他引：1
基于坐标模式的广义网平差模型，利用IGS发布的对GPS全球站处理后形成的单天解SINEX文件，通过自编软件计算了IGS测站的时间序列，并发现IGS测站存在非线性变化。利用频谱分析方法得出了IGS测站存在年周期或半年周期的变化，同时利用经验模型建立了IGS测站的测站速度函数。指出了仅利用1个线性量估计IGS跟踪站的速度值会存在偏差，应建立周期性变化模型，或采用分段线性化的方法，每隔一定的时间给出1个对应的速度。 相似文献
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华北GPS网GAMIT计算结果与IGS站选取的关系探讨 总被引：3，自引：0，他引：3
利用GAMIT软件对1999年华北GPS网的观测数据进行了处理，在处理过程中，对IGS站的选取分为：（1）选取15个IGS站；（2）选取6个IGS站；（3）选取3个IGS站；（4）对不选IGS站的四种情况进行了计算，并对四种情况得出的结果从基线向量、测站坐标、基线的重复率和计算所得的均方根的残差nrms四个方面进行了比较，得出了以下结论：使用GAMIT软件处理GPS资料时，最好选取IGS站为区域网提供参考框架；IGS站的选取，数量上不一定最多，但空间分布上应尽量均匀；对华北GPS网，选取6个左右的IGS站即可；多期GPS资料在处理时应尽量选取相同的IGS站进行计算。 相似文献
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鉴于IGS分析中心的框架及轨道产品趋于稳定,提出了基于IGS分析中心产品的轨道综合算法。利用自编算法对IGS各分析中心2017年2月26日—2017年4月8日精密轨道进行综合,获得GPS综合轨道。结果表明,IGS进行轨道综合的9个分析中心中,NGS、GFZ、CODE和ESA 4个分析中心的轨道产品精度相对较好,剩余5个分析中心的轨道产品相对较差;各分析中心与IGS发布的综合轨道间存在框架差异性;使用本文算法计算得到的合成轨道结果与IGS综合轨道作比较,二者三维差异小于5 mm,优于快速星历,证明了本文算法的可行性。 相似文献
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《测绘科学》2020,(8)
IGS14地球参考框架发布后,IGS分析中心参考框架已从IGS08转到IGS14,研究框架变化对精密定轨影响变得尤为迫切和重要。为了验证参考框架更新对精密定轨的的影响,该文采用不同的参考框架进行全球定位系统(GPS)精密定轨,并将定轨结果与国际GNSS服务(IGS)分析中心的轨道产品进行对比。实验结果表明,对于GPS卫星,轨道与IGS精密轨道互差均值从32.83 mm变为29.1 mm,重叠弧段均值从29.5 mm变为26.9 mm,更新参考框架后GPS的定轨结果得到提高。相较于IGS08地球参考框架,IGS14地球参考框架在测站位置速度精度、站点震后形变效应的影响和周年半年误差信号等处理上,更加接近测站实际的运动变化过程,有助于提高精密定轨的精度。 相似文献
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Marek Ziebart Paul Cross Antony Sibthorpe Peter Arrowsmith Washington Ochieng Shaojun Feng Umar Bhatti Peter Niemann 《GPS Solutions》2007,11(4):227-237
The Galileo integrity chain depends on a number of key factors, one of which is contamination of the signal-in-space errors
with residual errors other than imperfect modelling of satellite orbits and clocks. A potential consequence of this is that
the user protection limit is driven not by the errors associated with the imperfect orbit and clock modelling, but by the
distortions induced by noise and bias in the integrity chain. These distortions increase the minimum bias the integrity chain
can guarantee to detect, which is reflected in the user protection limit. A contributor to this distortion is the inaccuracy
associated with the estimation of the offset between the Galileo sensor station (GSS) receiver clocks and the Galileo system
time (GST). This offset is termed the receiver clock synchronization error (CSE). This paper describes the research carried
out to determine both the CSE and its associated error using GPS data as captured with the Galileo System Test Bed Version
1 (GSTB-V1). In the study we simulate open access to a time datum using IGS data. Two methods are compared for determining
CSE and the corresponding uncertainty (noise) across a global network of tracking stations. The single-epoch single-station
method is an ‘averaging’ technique that uses a single epoch of data, and is carried out at individual sensor stations, without
recourse to the data from other stations. The global network solution method is also single epoch based, but uses the inversion
of a linearised model of the global system to solve for the CSE simultaneously at all GSS along with a number of other parameters
that would otherwise be absorbed into the CSE estimate in the averaging technique. To test the effectiveness of various configurations
in the two methods the estimated synchronisation errors across the GSS network (comprising 25 stations) are compared to the
same values as estimated by the International GPS Service (IGS) using a global tracking network of around 150 stations, as
well as precise orbit and satellite clock models determined by a combination of global analysis centres. The results show
that the averaging technique is vulnerable to unmodelled errors in the satellite clock offsets from system time, leading to
receiver CSE errors in the region of 12 ns (3.7 m), this value being largely driven by the satellite CSE errors. The global
network approach is capable of delivering CSE errors at the level of 1.5 ns (46 cm) depending on the number of parameters
in the linearised model. The International GNSS Service (IGS) receiver clock estimates were used as a truth model for comparative
assessment. 相似文献
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多星座组合定位可以提升导航定位性能,但不同星座观测量组合时需要考虑合适的随机模型.传统方法是根据经验直接设定各系统的等价权重,但会导致随机模型确定不精确,从而影响组合系统的性能提升.将Helmert方差分量估计方法应用于GPS/GLONASS/BDS/Galileo组合精密单点定位(PPP)中,以自适应确定各系统间权比.采用国际GNSS服务(IGS)MGEX(Multi-GNSS Experiment)观测网的10个测站一周的观测数据进行静态和仿动态试验.结果表明:采用Helmert方差分量估计定权方法可显著提高GPS/GLONASS/BDS/Galileo组合PPP的收敛速度,与等权定权方案比较,静态模式下平均提高52%,仿动态模式下平均提高64%.因定位精度主要由载波相位观测值精度和误差修正水平决定,在静态和仿动态测试中Helmert方差分量估计方法对定位精度没有明显改善. 相似文献
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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%。 相似文献
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Ambiguity resolution for triple-frequency geometry-free and ionosphere-free combination tested with real data 总被引：5，自引：3，他引：2
The recent GPS Block IIF satellites SVN62 and SVN63 and the Galileo satellites GIOVE-A, GIOVE-B, PFM and FM2 already send signals on more than two frequencies, and more GNSS satellites will provide tracking data on at least three frequencies in the near future. In this paper, a simplified general method for ambiguity resolution minimizing the noise level for the triple-frequency geometry-free (GF) and ionosphere-free (IF) linear combinations is presented, where differently scaled code noise on the three frequencies was introduced. For the third of three required linear combinations, the most demanding one in triple-frequency ambiguity resolution, we developed a general method using the ambiguity-corrected phase observations without any constraints to search for the optimal GF and IF linear combination. We analytically demonstrate that the noise level of this third linear combination only depends on the three frequencies. The investigation concerning this frequency-dependent noise factor was performed for GPS, Galileo and Compass frequency triplets. We verified the theoretical derivations with real triple-frequency GPS and Galileo data from the Multi-GNSS Experiment (M–GEX) of the International GNSS Service (IGS). The data of about 30 M–GEX stations around the world over 11 days from 29 April 2012 to 9 May 2012 were used for the test. For the third linear combinaton using Galileo E1, E5b and E5a, which is expected to have the worst performance among all the GNSS frequency triplets in our investigation, the formal errors of the estimated ambiguities are in most cases below 0.2 cycles after 400 observation epochs. If more GPS satellites sending signals on three frequencies or more stations tracking Galileo E6 signal are available in the future, an improvement by a factor of two to three can be expected. 相似文献
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Xingxing Li Xin Li Yongqiang Yuan Keke Zhang Xiaohong Zhang Jens Wickert 《Journal of Geodesy》2018,92(6):579-608
This paper focuses on the precise point positioning (PPP) ambiguity resolution (AR) using the observations acquired from four systems: GPS, BDS, GLONASS, and Galileo (GCRE). A GCRE four-system uncalibrated phase delay (UPD) estimation model and multi-GNSS undifferenced PPP AR method were developed in order to utilize the observations from all systems. For UPD estimation, the GCRE-combined PPP solutions of the globally distributed MGEX and IGS stations are performed to obtain four-system float ambiguities and then UPDs of GCRE satellites can be precisely estimated from these ambiguities. The quality of UPD products in terms of temporal stability and residual distributions is investigated for GPS, BDS, GLONASS, and Galileo satellites, respectively. The BDS satellite-induced code biases were corrected for GEO, IGSO, and MEO satellites before the UPD estimation. The UPD results of global and regional networks were also evaluated for Galileo and BDS, respectively. As a result of the frequency-division multiple-access strategy of GLONASS, the UPD estimation was performed using a network of homogeneous receivers including three commonly used GNSS receivers (TRIMBLE NETR9, JAVAD TRE_G3TH DELTA, and LEICA). Data recorded from 140 MGEX and IGS stations for a 30-day period in January in 2017 were used to validate the proposed GCRE UPD estimation and multi-GNSS dual-frequency PPP AR. Our results show that GCRE four-system PPP AR enables the fastest time to first fix (TTFF) solutions and the highest accuracy for all three coordinate components compared to the single and dual system. An average TTFF of 9.21 min with \(7{^{\circ }}\) cutoff elevation angle can be achieved for GCRE PPP AR, which is much shorter than that of GPS (18.07 min), GR (12.10 min), GE (15.36 min) and GC (13.21 min). With observations length of 10 min, the positioning accuracy of the GCRE fixed solution is 1.84, 1.11, and 1.53 cm, while the GPS-only result is 2.25, 1.29, and 9.73 cm for the east, north, and vertical components, respectively. When the cutoff elevation angle is increased to \(30{^{\circ }}\), the GPS-only PPP AR results are very unreliable, while 13.44 min of TTFF is still achievable for GCRE four-system solutions. 相似文献
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多系统全球导航卫星系统（Global Navigation Satellite System,GNSS）精密轨道确定及其预报是实现高精度实时精密定位的前提。针对多GNSS系统超快速轨道解算时效性及轨道预报精度随时间下降的问题,提出一种基于分块递推最小二乘配置方法,该方法通过对动力学和几何学待估参数松弛、连接以及轨道状态参数转移递推,能够同时兼容事后及实时滤波定轨方法。该方法能够有效地提高多GNSS系统轨道解算效率,缩短实时轨道更新时间。基于全球实测数据验证了该方法的可靠性和有效性,轨道精度优于国际GNSS服务组织发布的GPS超快速轨道及德国地学研究中心发布的超快速轨道,实验结果表明,采用该方法,GPS/GLONASS/Galileo/BDS四系统120个地面测站精密定轨可以实现1 h更新,延迟30 min发布,统计GPS/GLONASS/Galileo/BDS实时轨道可用部分3D均方根分别为2.8 cm、8.5 cm、5.0 cm及11.5 cm（IGSO/MEO）。目前,1 h更新多GNSS系统轨道及实时产品服务系统已业务化发布,较之前发布的3 h更新及6 h更新轨道分别有20%~40%的精度提升。 相似文献
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Ionospheric delays can be efficiently eliminated from single-frequency data using a combination of carrier phases and code
ranges. Unfortunately, GPS and GLONASS ranges are relatively noisy which can limit the use of the positioning method. Nevertheless,
position standard deviations are in the range of 6–8 cm (horizontal) and 7–9 cm (3d) obtained from diurnal data batches from
selected IGS reference stations can be further reduced to 2–3 cm (3d) for weekly smoothed averages. GPS data sets collected
in Ghana (Africa) reveal a typical level of 10 cm of deviation that must be anticipated under average conditions. Looking
at the future of GNSS, the European Galileo system will, in contrast to GPS, provide the broadband signal E5 that is by far
less affected by multipath thus providing rather precise range measurements. Simulated processing runs featuring both high
ionospheric and tropospheric delay variations show a 3d position precision of 4 cm even for a data batch as short as just
1 h, whereas GPS L1/Galileo E1 performance is close to 13 cm for the same data set. 相似文献
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国际GNSS服务(IGS)提供的GPS综合产品被广泛应用于各种高精度科学研究中. 随着各国卫星导航系统的发展,亟需研究针对多系统全球卫星导航系统(GNSS)产品的综合策略. 由于卫星姿态与钟差相互耦合,综合钟差时额外考虑姿态改正将进一步提高综合产品精度,因此研究了一种顾及卫星姿态的GNSS钟差综合策略,改正姿态后GPS综合残差最大可减小80%. 对142个IGS测站进行精密单点定位(PPP)解算发现,综合产品比单个分析中心产品更加稳定,东(E)、北(N)、高(U)方向的动态定位精度最大可提升22.7%、16.7%和18.3%. 相对于未顾及姿态改正的综合产品,顾及姿态改正的综合产品的动态定位精度最大可提升65.3%. 相似文献