共查询到19条相似文献，搜索用时 140 毫秒
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基于原始观测值的单频精密单点定位算法 总被引：1，自引：0，他引：1
研究了一种基于GPS原始观测值的单频PPP算法。该算法通过增加电离层延迟先验信息、空间和时间约束的虚拟观测方程,将电离层延迟当作未知参数与其他定位参数一并进行估计来高效修正电离层延迟误差。通过使用全球178个IGS站1d的实测数据对本算法的收敛速度、定位精度和电离层VTEC的精度进行检验与分析。结果表明,该算法的收敛速度和稳定性均得到了改善,其静态单频单天PPP解的精度可达2~3cm、模拟动态单频单天PPP解的精度可达2~3dm,并且单频PPP与双频PPP提取的电离层总电子含量平均偏差小于5个TECU,可作为一种附属定位产品使用。 相似文献
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《武汉大学学报(信息科学版)》2016,(11)
单历元基线解算一直是卫星导航定位中的热点和难点,随着北斗导航定位系统的全面组网,三频载波可以形成更多优良的组合观测值,有效地提高了单历元基线解算的精度和可靠性。本文在传统TCAR的基础上引入电离层延迟先验信息,将电离层延迟与位置参数和模糊度作为未知参数,采用最小二乘配置原理一并求解。同时,采用考虑电离层延迟影响的模糊度相关法约束模糊度搜索空间。结果表明,加入电离层延迟先验信息可以较大提高单历元模糊度固定的成功率;而采用考虑电离层延迟的模糊度相关法可以缩小模糊度搜索空间,有效地提高单历元模糊度解算的成功率和可靠性。 相似文献
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利用单个基准站提供的改正信息对流动站的单频观测值数据进行改正,同时引入电离层参数进行实时电离层延迟估计,进行单频精密单点定位（PPP）计算。相比传统的单频PPP方法,本文方法对单频PPP的收敛速度和定位精度都有很大的提高,定位精度优于2cm,且受基准站距离的影响较小。 相似文献
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《测绘科学技术学报》2013,(2)
精密单点定位非差模糊度解算和收敛时间是制约其应用和发展的主要因素。本文从基本观测模型出发,将消电离层模糊度分解为宽巷和窄巷分别固定,并对固定方法做了改进,削弱了初始历元相关性对收敛速度的影响;提出非差相位延迟估计(PDE)解算模型,在不利用区域或全球参考站的前提下解算卫星与接收机相位延迟。通过对中国6个IGS站数据处理结果显示,93%的模糊度可以在20 min内固定。固定后定位精度在E,N和U方向上分别提高了63%,53%和24%;定位精度可以达到毫米至厘米级。对于数据质量较好的站点(如上海站)平面精度可达3 mm,模糊度固定后精密单点定位有了很大提高。 相似文献
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针对由于遮挡等原因造成卫星信号中断后精密单点定位（precise point positioning,PPP）需要重新收敛的问题,提出了一种基于多接收机模糊度关联的动态PPP快速重新收敛方法。以远海地区精密定位为背景,充分利用了远海地区实践应用中经常在测量船的不同位置上架设多台接收机的基本特点,建立不同接收机的模糊度之间的关系,获取发生数据中断的接收机的先验模糊度,进而完成动态PPP的快速重新收敛。实验结果表明,附加基线长度约束的两个接收机单历元固定双差模糊度的成功率在99%以上;在单历元固定双差模糊度的情况下,无论数据中断多长时间,所提算法都可以单历元完成动态PPP的重新收敛,并且收敛后的定位精度同数据中断前的定位精度相同。 相似文献
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针对PPP定位解算过程中收敛时间较长的问题,提出一种附加区域对流层延迟模型值约束PPP的方法,利用电力北斗精准位置服务网湖南区域的16个基准站观测数据,构建区域对流层延迟模型,通过对流动站HNYZ和CZZX的PPP定位实验,分别从PPP定位精度、收敛时间、模糊度参数和观测模型几何强度等方面,对该算法的改进效果进行了对比分析。实验结果表明,该算法具有更好的PPP模型几何强度,可以显著地改善高程方向的定位性能,静态模式下,收敛时间分别提升18.23%和12.96%,定位精度分别提升8.79%和1.87%;动态模式下,收敛时间分别提升7.32%和6.78%,定位精度分别提升6.07%和20.53%。 相似文献
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胡广保 《测绘与空间地理信息》2020,(3):153-156
针对实时GNSS单频定位中电离层延迟改正问题,本文采用可用于实时GNSS单频定位的几种电离层模型对电离层延迟进行改正并分析其对GNSS单频单点定位性能的影响。其中,对单频SPP的电离层延迟采用模型直接进行改正,采用Klobuchar模型、CODE的预报产品c1pg、原国家测绘地理信息局的实时球谐电离层产品cosong和CODE事后产品codg计算的电离层精度依次提高;采用不同电离层模型作为电离层估计的先验约束进行单频PPP定位。结果表明:采用精度较好的电离层产品作为先验约束可加快单频PPP收敛。 相似文献
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传统的单频载波相位平滑伪距算法因受到电离层延迟变化的影响，容易出现平滑结果发散和精度下降的问题，而现有的解决方案对精度提高有限或需要外部精密电离层改正数据的支持。本文研究了电离层的变化规律并建立回归模型，在此基础上提出了一种自模型化电离层延迟变化的单频载波相位平滑伪距算法。此算法利用伪距和载波观测量中含有的电离层延迟信息进行电离层延迟建模，从平滑伪距中扣除了历元间电离层延迟变化值，有效避免了平滑伪距的发散问题。利用自编软件GNSSer实现了电离层自模型化的载波平滑伪距算法，并采用静态与动态实测观测数据进行了定位试验和精度分析。算例结果表明：①长时段常规Hatch滤波受电离层影响非常严重；②自模型化电离层延迟可达厘米级的精度，在30 min窗口内，使用线性移动开窗拟合法效果最佳；③自模型化电离层改正可以有效消除平滑伪距电离层影响，随着时段窗口的增加，精度没有降低；④利用本文提出的算法进行逐历元单频平滑伪距单点定位，在静态与动态的NEU方向都达到了亚分米级别的定位精度，其中，动态定位测试中水平和高程方向精度为6.25和10.4 cm，比原始伪距分别提高了5.4倍和3.3倍。 相似文献
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Ionospheric delay is a dominant error source in Global Navigation Satellite System (GNSS). Single-frequency GNSS applications require ionospheric correction of signal delay caused by the charged particles in the earth’s ionosphere. The Chinese Beidou system is developing its own ionospheric model for single-frequency users. The number of single-frequency GNSS users and applications is expected to grow fast in the next years in China. Thus, developing an appropriate ionospheric model is crucially important for the Chinese Beidou system and worldwide single-frequency Beidou users. We study the performance of five globally accessible ionospheric models Global Ionospheric Map (GIM), International Reference Ionosphere (IRI), Parameterized Ionospheric Model (PIM), Klobuchar and NeQuick in low- and mid-latitude regions of China under mid-solar activity condition. Generally, all ionospheric models can reproduce the trend of diurnal ionosphere variations. It is found that all the models have better performances in mid-latitude than in low-latitude regions. When all the models are compared to the observed total electron content (TEC) data derived from GIM model, the IRI model (2012 version) has the best agreement with GIM model and the NeQuick has the poorest agreement. The RMS errors of the IRI model using the GIM TEC as reference truth are about 3.0–10.0 TECU in low-latitude regions and 3.0–8.0 TECU in mid-latitude regions, as observed during a period of 1 year with medium level of solar activity. When all the ionospheric models are ingested into single-frequency precise point positioning (PPP) to correct the ionospheric delays in GPS observations, the PIM model performs the best in both low and mid-latitudes in China. In mid-latitude, the daily single-frequency PPP accuracy using PIM model is ~10 cm in horizontal and ~20 cm in up direction. At low-latitude regions, the PPP error using PIM model is 10–20 cm in north, 30–40 cm in east and ~60 cm in up component. The single-frequency PPP solutions indicate that NeQuick model has the lowest accuracy among all the models in both low- and mid-latitude regions of China. This study suggests that the PIM model may be considered for single-frequency GNSS users in China to achieve a good positioning accuracy in both low- and mid-latitude regions. 相似文献
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Currently, the GNSS computing modes are of two classes: network-based data processing and user receiver-based processing. A GNSS reference receiver station essentially contributes raw measurement data in either the RINEX file format or as real-time data streams in the RTCM format. Very little computation is carried out by the reference station. The existing network-based processing modes, regardless of whether they are executed in real-time or post-processed modes, are centralised or sequential. This paper describes a distributed GNSS computing framework that incorporates three GNSS modes: reference station-based, user receiver-based and network-based data processing. Raw data streams from each GNSS reference receiver station are processed in a distributed manner, i.e., either at the station itself or at a hosting data server/processor, to generate station-based solutions, or reference receiver-specific parameters. These may include precise receiver clock, zenith tropospheric delay, differential code biases, ambiguity parameters, ionospheric delays, as well as line-of-sight information such as azimuth and elevation angles. Covariance information for estimated parameters may also be optionally provided. In such a mode the nearby precise point positioning (PPP) or real-time kinematic (RTK) users can directly use the corrections from all or some of the stations for real-time precise positioning via a data server. At the user receiver, PPP and RTK techniques are unified under the same observation models, and the distinction is how the user receiver software deals with corrections from the reference station solutions and the ambiguity estimation in the observation equations. Numerical tests demonstrate good convergence behaviour for differential code bias and ambiguity estimates derived individually with single reference stations. With station-based solutions from three reference stations within distances of 22–103 km the user receiver positioning results, with various schemes, show an accuracy improvement of the proposed station-augmented PPP and ambiguity-fixed PPP solutions with respect to the standard float PPP solutions without station augmentation and ambiguity resolutions. Overall, the proposed reference station-based GNSS computing mode can support PPP and RTK positioning services as a simpler alternative to the existing network-based RTK or regionally augmented PPP systems. 相似文献
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采用MGEX网提供的GPS、GLONASS、BDS、GALILEO四系统双频观测数据,以CODE、GBM、WUM、GRG精密产品进行了静/准动态模式下多系统组合无电离层延迟PPP浮点解与整数钟法固定解实验。结果表明多系统的组合提升了定位精度,尤其是GLONASS的加入效果最明显,CODE与GBM产品的解算精度优于WUM、GRG产品。部分模糊度固定相比全模糊度固定的效果显著,模糊度固定明显缩短了PPP收敛时间,在静态模式下相对浮点解精度提升10%以内,动态模式下E方向与U方向精度提升效果最好。 相似文献
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提出一种基于单频码和相位观测量的单频精密单点定位方法,将每个观测量的电离层延迟量与接收机钟差、对流层天顶延迟、接收机位置、相位模糊度一起作为未知参数。采用约化参数的平方根信息滤波与平滑算法进行参数解算。该方法适用于实时定位和事后处理,且不需要外部的电离层模型。采用全球分布的32个IGS监测站16 d实测数据进行静态解算试验,结果表明E、N、U方向的RMS分别为0.023 m、0.018 m、0.059 m;基于一组机载GPS数据进行动态解算试验,得到E、N、U方向的RMS(与载波相位动态相对定位结果比较)分别为0.168 m、0.151 m、0.172 m。 相似文献
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非差非组合精密单点定位需要估计电离层延迟参数,采用电离层先验改正模型约束可以辅助电离层参数解算。针对先验电离层改正量与实际观测量之间权比关系难以确定的问题,本文提出一种电离层约束权因子搜索算法,采用权因子对先验电离层改正量的方差进行调整,根据验后残差加权平方和最小原则通过搜索找出较优的权因子,利用验后残差动态调整先验电离层改正量的方差从而达到改善定位结果的目的。采用8个MGEX跟踪站的GPS/BDS观测数据对该算法进行验证。静态结果表明：对比传统约束方法,采用搜索算法后平均三维定位精度由3.96 cm提高到3.40 cm,平均收敛时间由76.3 min缩短为59.9 min。 相似文献
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Single-frequency precise point positioning (SF-PPP) is a potential precise positioning technique due to the advantages of the high accuracy in positioning after convergence and the low cost in operation. However, there are still challenges limiting its applications at present, such as the long convergence time, the low reliability, and the poor satellite availability and continuity in kinematic applications. In recent years, the achievements in the dual-frequency PPP have confirmed that its performance can be significantly enhanced by employing the slant ionospheric delay and receiver differential code bias (DCB) constraint model, and the multi-constellation Global Navigation Satellite Systems (GNSS) data. Accordingly, we introduce the slant ionospheric delay and receiver DCB constraint model, and the multi-GNSS data in SF-PPP modular together. In order to further overcome the drawbacks of SF-PPP in terms of reliability, continuity, and accuracy in the signal easily blocking environments, the inertial measurements are also adopted in this paper. Finally, we form a new approach to tightly integrate the multi-GNSS single-frequency observations and inertial measurements together to ameliorate the performance of the ionospheric delay and receiver DCB-constrained SF-PPP. In such model, the inter-system bias between each two GNSS systems, the inter-frequency bias between each two GLONASS frequencies, the hardware errors of the inertial sensors, the slant ionospheric delays of each user-satellite pair, and the receiver DCB are estimated together with other parameters in a unique Kalman filter. To demonstrate its performance, the multi-GNSS and low-cost inertial data from a land-borne experiment are analyzed. The results indicate that visible positioning improvements in terms of accuracy, continuity, and reliability can be achieved in both open-sky and complex conditions while using the proposed model in this study compared to the conventional GPS SF-PPP. 相似文献
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虽然TCAR能够实现短基线三频模糊度单历元解算,但由于电离层延迟及观测噪声等的影响,中长基线三频模糊度快速解算仍然是导航定位的一大难点。本文提出了一种新的无几何无电离层三频模糊度解算方法。该方法通过对伪距观测值赋予不同的权重,辅助宽巷及窄巷消除电离层残差的影响,使宽巷及窄巷求解只受观测噪声的影响;然后通过多历元的平滑获取宽巷及窄巷模糊度值。通过实测BDS三频长基线数据表明,相比经典TCAR算法,该方法可大大改善中长基线模糊度的求解精度,经过数据平滑并验证基本可以实现中长基线模糊度的快速解算。 相似文献