共查询到20条相似文献，搜索用时 171 毫秒
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计算了由于形状、姿态和表面性质不准确导致火星探测器行星际定轨存在较大光压模型误差时,两种不同定轨方案(方案1只估计光压系数,方案2同时估计光压系数和随机加速度)对光压模型误差的补偿效果。在方案2中建立了高斯马尔科夫模型表征光压模型导致的加速度误差,并选取了合适的随机模型参数。仿真分析表明方案2可以有效补偿光压模型误差,避免滤波发散,提高定轨精度。 相似文献
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精密卫星钟差加密方法及其对星载GPS低轨卫星定轨精度影响 总被引：7，自引：0，他引：7
韩保民 《武汉大学学报(信息科学版)》2006,31(12):1075-1078
系统分析、比较了几种精密卫星钟差加密方法，研究了利用全球分布的IGS永久跟踪站的GPS观测数据估计高采样率卫星钟差参数的原理与方法，并将各种卫星钟差加密方法得到的结果与IGS数据分析中心估计的卫星钟差结果相比较。最后将不同加密方法得出的精密卫星钟差结果用于基于星载GPS双频非差观测值的CHAMP低轨卫星的定轨，并将不同方法得到的定轨精度进行比较。结果表明，利用地面跟踪站的GPS观测数据，可高精度、高密度地估计GPS卫星钟差，估计精度可达0．1～0．5ns。经地面GPS跟踪站数据估计的GPS卫星钟差，应用于基于PPP方法的低轨卫星定轨，其定轨精度在10cm以内。 相似文献
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低轨卫星简化动力学定轨中引入伪随机脉冲可有效提高定轨精度,但伪随机脉冲先验值（时间间隔、先验标准差）会影响伪随机脉冲估值大小,进而影响定轨精度。基于GRACE（Gravity Recovery and Climate Experiment）卫星轨道分析伪随机脉冲先验值对单天解简化动力学定轨精度的影响,实验表明,时间间隔从240 min减至6 min,先验标准差从1×10-4mm/s增至1×10-1mm/s,伪随机脉冲总的估值大小由1×10-2mm/s增至1×101mm/s,定轨精度从几十cm提高到2 cm;当先验标准差大于1×10-1mm/s,继续增加先验标准差,伪随机脉冲估值不变,定轨精度不再提高。因此,对于单天解轨道,时间间隔减小至6 min,先验标准差增至1×10-1mm/s,伪随机脉冲估值增大,定轨精度提高;继续增大先验标准差,伪随机脉冲估值不变,定轨精度不再提高。利用不同高度的Swarm卫星验证了该结论的有效性。 相似文献
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Galileo三频非组合精密定轨模型及精度评估 总被引：1，自引：1，他引：1
不断丰富的多频信号为GNSS精密数据处理带来了新的机遇与挑战。本文首先推导了适用于多频非组合（UC）观测值的GNSS卫星精密定轨模型,并给出了多频UC模糊度的双差约束策略。在此基础上,本文基于全球分布的150个MGEX测站的观测数据,对UC模型和无电离层组合（IF）模型分别使用E1/E5a、E1/E5b和E1/E5a/E5b观测值进行了Galileo卫星精密定轨。采用与外部精密产品对比、轨道边界不连续性比较和卫星激光测距（SLR）检核等方法评估了不同策略的定轨精度。结果表明：双频情况下,本文提出的UC模型与目前常用的IF模型定轨精度基本一致,两者定轨结果的1DRMS差异在1 mm以内,钟差STD差异在0.01 ns以内,SLR残差差异在2 mm以内。使用E1/E5a/E5b观测值后,UC模型和IF模型的浮点解精度相较于使用E1/E5b观测值的结果有1~2 mm的改善。 相似文献
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卫星轨道力学模型分析 总被引：2，自引：0，他引：2
本文分析了目前卫星定轨中采用的轨道力学模型误差状况。使用Ｌａ－ｇｅｏｓ卫星的全球激光测距资料，利用长短弧定轨比较方法，给出了力学模型误差对此卫星的影响特性，并对所采用的力模型进行定性、定量分析。结果表明，卫星长弧定轨误差源来自于力学背景尚不十分清楚的因素。 相似文献
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针对在星载GPS卫星定轨中由于卫星动力学模型误差和不可避免的观测异常严重影响定轨精度的问题,通过采用适当的自适应控制因子和应用抗差估计原理,构造自适应抗差扩展卡尔曼滤波(RAEKF)来实现星载GPS卫星定轨。实测计算表明,自适应抗差扩展卡尔曼滤波对观测误差和状态扰动有一定的抵制能力,与一般扩展卡尔曼滤波相比提高了精度,证明其理论的可行性。 相似文献
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由于重力场精化、大气探测、海洋测高等科学研究的需要,低轨卫星得到了迅速发展。精密轨道确定是低轨卫星科学任务顺利完成的前提。本文系统分析了基于星载GPS接收机双频P码非差观测值的低轨卫星定轨方法的原理及数学模型,并用CHAMP卫星的实测观测值对各种定轨方法进行了验算,以分析研究各种不同定轨方法的定轨精度。结果表明简化的动力学定轨精度较高,定轨精度在2dm左右;动力学定轨结果最差,在几m左右;而几何法及简化几何法定轨精度相当,约1m左右,定轨精度介于动力学及简化动力学定轨精度之间。 相似文献
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针对低轨卫星搭载BDS/GPS接收机实现定轨将成为定轨领域热点的现状,该文讨论了基于星载BDS/GPS实时定轨和精密定轨需要考虑的数学模型,阐述了实时定轨和精密定轨的模型差异。基于自主研发程序,利用高动态信号仿真器仿真的星载BDS/GPS数据研究了基于星载BDS/GPS实时定轨和精密定轨的可行性及其能达到的精度。试验结果表明,星载BDS/GPS实时定轨位置精度为1.19m,速度精度为2.35mm/s。GPS信号发生中断时即仅采用BDS观测数据进行实时定轨时,三维位置误差达到3.73m;星载BDS/GPS精密定轨位置精度为2.30cm,仅采用BDS观测数据进行精密定轨时,三维位置误差可达到8.26cm。 相似文献
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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. 相似文献
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轨道误差传播研究在空间碰撞风险分析、任务规划等空间态势感知领域具有重要作用。轨道误差常用误差协方差矩阵表达,其传播方式主要有线性传播模型与非线性传播模型两种。线性传播模型通过状态转移矩阵外推初始协方差矩阵,计算快速,但因将高度非线性化的轨道动力学问题线性化描述,导致传播精度随时间快速降低。非线性传播模型精度高但计算慢,难以进行大规模碎片群的轨道误差传播。在轨道误差传播特性分析的基础上,提出了一种获得较为真实的空间碎片轨道预报误差的方法,分3步进行:初始协方差矩阵的构建、初始轨道协方差线性传播以及基于实测数据对轨道预报协方差的动态校正。经大量案例统计分析,结果表明,校正后的轨道预报协方差,相较于线性传播结果,精度提高了60%以上,可服务于空间碰撞风险分析等高精度空间任务。 相似文献
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针对目前SAR干涉测量中基线估计现存的问题,提出了利用Kalman滤波和配准参数进行基线估计的方法.所提出的方法具有不需地面控制点、不受地形限制和不依赖于轨道参数等优点,并可以估计时变的基线参数.利用南京地区的ERS-1/2 tandem数据进行了试验研究,并对提出的方法进行了验证.结果表明,在精确的卫星轨道数据和地面控制点不能获取时,所提出的方法仍能有效地估计InSAR基线.这在一定程度上补偿了轨道偏移带来的误差,为获取高精度的DEM奠定了基础. 相似文献
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为分析北斗卫星观测值随机特性,估计了地球静止轨道、倾斜地球同步卫星轨道、中地球轨道卫星载波相位观测值的方差分量。发现不同接收机和不同类型卫星观测值方差分量的大小和时变特性具有明显差异。为构建更切实际的方差结构随机模型,提出利用迭代最小二乘和最小范数二次无偏估计相结合的方法,实时估计不同类型北斗卫星观测值方差分量。为评估实时估计随机模型的性能,对243 m、645 m、10 137 m三条不同长度基线进行精密相对定位测试,结果表明:实时估计随机模型能有效改善北斗卫星精密单历元动态相对定位性能,尤其当站间距离较长时改善更显著。10 137m基线测试结果表明,1h数据单历元解在北、东、高方向,平均定位精度分别提高了41.3%、54.5%、51.6%,稳定性分别提高了38.4%、17.7%、39.7%。 相似文献
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The Earth’s non-spherical mass distribution and atmospheric drag cause the strongest perturbations on very low-Earth orbiting satellites (LEOs). Models of gravitational and non-gravitational accelerations are utilized in dynamic precise orbit determination (POD) with GPS data, but it is also possible to derive LEO positions based on GPS precise point positioning without dynamical information. We use the reduced-dynamic technique for LEO POD, which combines the geometric strength of the GPS observations with the force models, and investigate the performance of different pseudo-stochastic orbit parametrizations, such as instantaneous velocity changes (pulses), piecewise constant accelerations, and continuous piecewise linear accelerations. The estimation of such empirical orbit parameters in a standard least-squares adjustment process of GPS observations, together with other relevant parameters, strives for the highest precision in the computation of LEO trajectories. We used the procedures for the CHAMP satellite and found that the orbits may be validated by means of independent SLR measurements at the level of 3.2 cm RMS. Validations with independent accelerometer data revealed correlations at the level of 95% in the along-track direction. As expected, the empirical parameters compensate to a certain extent for deficiencies in the dynamic models. We analyzed the capability of pseudo-stochastic parameters for deriving information about the mismodeled part of the force field and found evidence that the resulting orbits may be used to recover force field parameters, if the number of pseudo-stochastic parameters is large enough. Results based on simulations showed a significantly better performance of acceleration-based orbits for gravity field recovery than for pulse-based orbits, with a quality comparable to a direct estimation if unconstrained accelerations are set up every 30 s. 相似文献
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星蚀期北斗卫星轨道性能分析——SLR检核结果 总被引：1，自引：0，他引：1
星蚀期北斗卫星的轨道性能是北斗卫星导航系统性能分析的重要部分。了解北斗卫星导航系统星历中星蚀期轨道的精度,不仅可为系统服务性能评估提供支持,还有助于了解星蚀期精密定轨中相关模型可能存在的问题,进而为精密定轨函数模型改进提供参考。本文基于2014年1月至2015年7月的卫星激光测距资料,重点分析了星蚀期对北斗不同类型卫星轨道的影响,同时也对北斗广播星历和精密星历中整体轨道径向精度进行检核。结果表明:星蚀期内(尤其是偏航机动期间),IGSO/MEO卫星的广播星历和精密星历轨道均存在明显的精度下降;广播星历轨道径向误差达1.5~2.0m,精密星历轨道径向误差超过10.0cm。但仅从轨道径向残差序列中难以发现星蚀期对GEO卫星轨道是否有显著影响。非星蚀期间,IGSO/MEO卫星和GEO卫星的广播星历轨道径向精度分别优于0.5 m和0.9 m。IGSO/MEO卫星的精密星历轨道径向精度优于10.0cm,GEO卫星的轨道径向精度约50.0cm,且存在40.0cm左右的系统性偏差。 相似文献
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The impact of accelerometry on CHAMP orbit determination 总被引：6，自引：0，他引：6
The contribution of the STAR accelerometer to the CHAMP orbit precision is evaluated and quantified by means of the following
results: orbital fit to the satellite laser ranging (SLR) observations, GPS reduced-dynamic vs SLR dynamic orbit comparisons,
and comparison of the measured to the modeled non-gravitational accelerations (atmospheric drag in particular). In each of
the four test periods in 2001, five CHAMP arcs of 2 days' length were analyzed. The mean RMS-of-fit of the SLR observations
of the orbits computed with STAR data or the non-gravitational force model were 11 and 24 cm, respectively. If the accelerometer
calibration parameters are not known at least at the few percent level, the SLR orbit fit deteriorates. This was tested by
applying a 10% error to the along-track scale factor of the accelerometer, which increased the SLR RMS-of-fit on average to
17 cm. Reference orbits were computed employing the reduced-dynamic technique with GPS tracking data. This technique yields
the most accurate orbit positions thanks to the estimation of a large number of empirical accelerations, which compensate
for dynamic modeling errors. Comparison of the SLR orbits, computed with STAR data or the non-gravitational force model, to
the GPS-based orbits showed that the SLR orbits employing accelerometer observations are twice as accurate. Finally, comparison
of measured to modeled accelerations showed that the level of geomagnetic activity is highly correlated with the atmospheric
drag model error, and that the largest errors occur around the geomagnetic poles.
Received: 7 May 2002 / Accepted: 18 November 2002
Correspondence to: S. Bruinsma
Acknowledgments. The TIGCM results were obtained from the CEDAR database. This study was supported by the Centre National d'Etudes Spatiales
(CNES). The referees are thanked for their helpful remarks and suggestions. 相似文献
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Based on the orbit integration and orbit fitting method, the influence of the characters of the gravity model, with different precisions, on the movement of low Earth orbit satellites was studied. The way and the effect of absorbing the influence of gravity model error on CHAMP and GRACE satellite orbits, using linear and periodical empirical acceleration models and the so-called “pseudo-stochastic pulses” model, were also analyzed. 相似文献
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Zhigui Kang Byron Tapley Srinivas Bettadpur John Ries Peter Nagel Rick Pastor 《Journal of Geodesy》2006,80(6):322-331
The GRACE (gravity recovery and climate experiment) satellites, launched in March 2002, are each equipped with a BlackJack GPS onboard receiver for precise orbit determination and gravity field recovery. Since launch, there have been significant improvements in the background force models used for satellite orbit determination, most notably the model for the geopotential. This has resulted in significant improvements to orbit accuracy for very low altitude satellites. The purpose of this paper is to investigate how well the orbits of the GRACE satellites (about 470 km in altitude) can currently be determined using only GPS data and based on the current models and methods. The orbit accuracy is assessed using a number of tests, which include analysis of orbit fits, orbit overlaps, orbit connecting points, satellite Laser ranging residuals and K-band ranging (KBR) residuals. We show that 1-cm radial orbit accuracy for the GRACE satellites has probably been achieved. These precise GRACE orbits can be used for such purposes as improving gravity recovery from the GRACE KBR data and for atmospheric profiling, and they demonstrate the quality of the background force models being used. 相似文献