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1.
基于能量守恒方程给出了利用卫星轨迹交叉点标定CHAMP卫星加速度数据的基本原理和方法 ,并给出了其严密的积分公式及其离散化形式。为了控制加速度数据的扰动异常 ,建议采用抗差估计求解参数值 ,并基于实测的CHAMP卫星加速度计数据进行了计算与比较 ,验证了该方法的有效性 相似文献
2.
基于能量守恒方法恢复CHAMP重力场模型 总被引：3，自引：0，他引：3
介绍了基于能量守恒定律恢复地球重力场模型的基本原理和算法.指出了CHAMP加速度计数据存在的问题,提出了整体求解尺度因子、偏差参数和偏差漂移的数学模型及差分算法.利用2002年1月的CHAMP快速科学轨道数据和加速度计数据计算出了50 × 50地球重力场模型XISM02.将该模型与EGM96,GRIM5C1,EIGEN1S,EIGEN2模型进行了比较,并用北极实测重力数据对上述模型进行了检验.结果表明:XISM02模型在北极地区精度与EIGEN1S,EIGEN2相当. 相似文献
3.
利用现有重力场模型求定CHAMP卫星加速度计修正参数 总被引：3，自引：0，他引：3
CHAMP卫星加速度计数据的标定是通过确定其尺度因子和偏差参数来完成的.本文基于能量守恒方程,给出利用现有重力场模型标定CHAMP卫星加速度数据的基本原理和数学模型;提出相邻历元间差分算法,大大简化了观测方程,同时避免积分常量的计算.该算法既能同时解算尺度因子和偏差参数,也可任意求解其中之一.基于实测的CHAMP卫星加速度数据,利用EGM96模型和最新公布的EIGEN-2模型进行计算与比较,验证该方法的有效性. 相似文献
4.
给出了用于标校CHAMP卫星加速度计数据的动力学法，并推导了相应的计算公式。该方法不受先验地球重力场模型的影响，具有在求解住系数的同时对加速度计数据的尺度和偏差进行标校的优点。计算结果表明，该方法能明显改善重力场模型的恢复精度。 相似文献
5.
本文探讨了基于能量守恒方法利用CHAMP卫星精密星历和加速度数据恢复地球重力场模型的原理和方法。给出了地心惯性系下顾及地球自转和非保守力能量损耗的能量守恒方程,并且对日、月摄动位与引潮力附加位的计算方法作了相应的分析,同时介绍了加速度数据的处理方法。基于能量守恒方法,利用2002年1-2月、7-8月和11-12月三个不同时期共180天的CHAMP卫星精密星历和加速度数据恢复了三组50阶次的地球重力场模型GFM01、GFM02和GFM03,并将这些模型与EGM 96重力场模型和GFZ公布的EIGEN-CG01C重力场模型进行比较。结果表明:能量守恒方法恢复的GFM系列模型与EGM 96重力场模型及EIGEN-CG01C重力场模型在低阶位系数上均有较好的一致,但与EIGEN-CG01C模型有更好的一致。这说明了CHAMP卫星对地球中、长波重力场的敏感性,也说明了能量守恒方法恢复低阶地球重力场位系数的有效性。 相似文献
6.
改进的能量守恒方法及其在CHAMP重力场恢复中的应用(英文) 总被引：1，自引：0，他引：1
XU Tianhe HE Kaifei Xi’an Research Institute of Surveying Mapping Middle Yanta Road Xi’an China. 《地球空间信息科学学报》2008,11(3):168-173
An efficient method for gravity field determination from CHAMP orbits and accelerometer data is referred to as the energy balance approach. A new CHAMP gravity field recovery strategy based on the improved energy balance approach IS developed in this paper. The method simultaneously solves the spherical harmonic coefficients, daily Integration constant, scale and bias parameters. Two 60 degree and order gravitational potential models, XISM-CHAMPO1S from the classical energy balance approach, and XISM-CHAMPO2S from the improved energy balance, are determined using about one year＇s worth of CHAMP kinematic orbits from TUM and accelerometer data from GFZ. Comparisons among XISM-CHAMPO1S, XISM-CHAMPO2S, EIGEN-CGO3C, EIGEN-CHAMPO3S, EIGEN2, ENIGNIS and EGM96 are made. The results show that the XISM-CHAMPO2S model is more accurate than EGM96, EIGENIS, EIGEN2 and XISM-CHAMPO1S at the same degree and order, and has almost the same accuracy as EIGEN-CHAMPO3S. 相似文献
7.
8.
GOCE gradiometer: estimation of biases and scale factors of all six individual accelerometers by precise orbit determination 总被引：3，自引：0，他引：3
P. N. A. M. Visser 《Journal of Geodesy》2009,83(1):69-85
A method has been implemented and tested for estimating bias and scale factor parameters for all six individual accelerometers
that will fly on-board of GOCE and together form the so-called gradiometer. The method is based on inclusion of the individual
accelerometer observations in precise orbit determinations, opposed to the baseline method where so-called common-mode accelerometer
observations are used. The method was tested using simulated data from a detailed GOCE system simulator. It was found that
the observations taken by individual accelerometers need to be corrected for (1) local satellite gravity gradient (SGG), and
(2) rotational terms caused by centrifugal and angular accelerations, due to the fact that they are not located in the satellite’s
center of mass. For these corrections, use is made of a reference gravity field model. In addition, the rotational terms are
derived from on-board star tracker observations. With a perfect a priori gravity field model and with the estimation of not
only accelerometer biases but also accelerometer drifts, scale factors can be determined with an accuracy and stability better
than 0.01 for two of the three axes of each accelerometer, the exception being the axis pointing along the long axis of the
satellite (more or less coinciding with the flight direction) for which the scale factor estimates are unreliable. This axis
coincides with the axis of drag-free control, which results in a small variance of the signal to be calibrated and thus an
inaccurate determination of its scale factor in the presence of relatively large (colored) accelerometer observation errors.
In the presence of gravity field model errors, it was found that still an accuracy and stability of about 0.015 can be obtained
for the accelerometer scale factors by simultaneously estimating empirical accelerations. 相似文献
9.
基于德国慕尼黑技术大学(TUM)提供的100 d的CHAMP卫星几何法轨道和GFZ提供的加速度计数据,计算出了50×50阶地球重力场模型XISM-CHAMP01,并与EIGEN-CG03C、EIGEN-CHAMP03S、EIGEN2、EIGEN1S、EGM96模型进行了比较。结果表明,XISM-CHAMP01模型精度明显优于相同阶次EGM96模型和EIGEN1S模型,并与EIGEN2模型精度相当。 相似文献
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在地面车载组合导航中,全球导航卫星系统（global navigation satellite system,GNSS）的观测值容易受地面复杂环境的干扰,导致其定位结果出现异常,严重影响GNSS/捷联惯性导航系统（strap-down inertial navigation system,SINS）组合的滤波解算。从惯导系统误差特性的角度,研究了一种基于加表零偏稳定性的组合导航异常探测新方法。该方法从加表零偏解算的异常来发现GNSS位置、速度等观测值中的粗差,并采取剔除和降权的抗差方法抵御粗差影响。通过一组车载数据的分析表明,观测粗差对加表零偏解算的影响十分显著,以此为判别条件能够准确地发现观测粗差。采用该方法后,位置误差、速度误差和姿态误差的均方根分别减小了70.8%、87.9%和77.7%,显著提高了组合导航的解算精度和鲁棒性,为组合导航数据的抗差处理提供了一种新思路。 相似文献
12.
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
13.
为提高轨道检查仪惯性导航系统对准精度,提出适用于轨道检查仪的惯性导航系统双位置对准方法。该方法利用轨道检查仪掉头方式,实现惯导系统加速度计常值零偏补偿。选用0.1°/h光纤陀螺仪和200 μg石英挠性加速度计组成惯性导航系统,在一铁路路段进行轨道检测试验。试验结果表明,双位置对准方法能够有效去除惯性器件零偏误差导致的轨道参数检测误差,在轨检仪连续工作300 m的情况下,铁路轨道水平检测精度明显提高。 相似文献
14.
Frequency-dependent data weighting in global gravity field modeling from satellite data contaminated by non-stationary noise 总被引：1，自引：0，他引：1
Satellite data that are used to model the global gravity field of the Earth are typically corrupted by correlated noise, which
can be related to a frequency dependence of the data accuracy. We show an opportunity to take such noise into account by using
a proper noise covariance matrix in the estimation procedure. If the dependence of noise on frequency is not known a priori,
it can be estimated on the basis of a posteriori residuals. The methodology can be applied to data with gaps. Non-stationarity
of noise can also be dealt with, provided that the necessary a priori information exists. The proposed methodology is illustrated
with CHAllenging Mini-satellite Payload (CHAMP) data processing. It is shown, in particular, that the usage of a proper noise
model can make the measurements of non-gravitational satellite accelerations unnecessarily. This opens the door for high-quality
modeling of the Earth’s gravity field on the basis of observed orbits of non-dedicated satellites (i.e., satellites without
an on-board accelerometer). Furthermore, the processing of data from dedicated satellite missions – GRACE (Gravity Recovery
and Climate Experiment) and GOCE (Gravity field and steady-state Ocean Circulation Explorer) – may also benefit from the proposed
methodology. 相似文献
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16.
探讨了根据ARMA模型构造白化滤波器对卫星加速度进行去相关滤波的方法。给出了加速度法和去相关最小二乘解算的基本原理,推导了基于加速度法整体求解加速度计尺度因子、偏差参数和重力场位系数的计算公式。在此基础上,讨论了利用ARMA去相关滤波法抑制卫星加速度有色噪声的具体处理方案。实验结果验证了所提方法的有效性。 相似文献
17.
Integrated adjustment of CHAMP, GRACE, and GPS data 总被引：16，自引：3，他引：13
Various types of observations, such as space-borne Global positioning system (GPS) code and phase data, accelerometer data, K-band range and range-rate data, and ground-based satellite laser ranging data of the CHAllenging Minisatellite Payload (CHAMP) and GRAvity Climate Experiment (GRACE) satellite missions, are used together with ground-based GPS code and phase data in a rigorous adjustment to eventually solve for the ephemerides of the CHAMP, GRACE, and GPS satellites, geocenter variations, and low-degree gravity field parameters. It turns out that this integrated adjustment considerably improves the accuracy of the ephemerides for the high and low satellites, geocenter variations, and gravity field parameters, compared to the case when the adjustment is carried out stepwise or in individual satellite solutions.Acknowledgments. This study has been supported by the German Ministry of Education and Research through the Geotechnologies Programme grants 03F0333A/CHAMP and 03F0326A/GRACE. 相似文献
18.
以拟合方差最小为准则,通过点质量法拟合船载重力测量数据,得到点质量大小、埋深等参数。回避点质量法数值求解的不稳定性问题,借鉴移去-恢复技术的思路,利用该参数计算船载重力测量点上的重力异常,并将其在测线上的重力异常中扣除,计算出船载重力残差值。以点质量大小、埋深等参数计算卫星测高重力格网点上重力异常,同样得到测高重力残差值。采用加权最小曲率格网化方法,将船载重力残差值与测高重力残差值格网化,进而恢复由点质量大小、埋深等参数计算格网点处的重力异常,实现卫星测高与船载重力测量数据融合。经国际船载重力测量数据检核,融合后的模型较国际船载重力测量数据的平均偏差在1~2 mGal（1 Gal=1×10-2 m/s2）,标准差约为4 mGal。本文的研究方法可为陆地、海岸带区域的多种重力数据的融合、航空重力及卫星重力的向下延拓等问题提供参考。 相似文献
19.
A preliminary commission error analysis whereby orbit perturbation theory and other techniques are used to assess and predict the recovery of the Earths gravity field from the challenging microsatellite payload (CHAMP) mission is developed and implemented. With CHAMP launched in July 2000, accumulated evidence is now available to quantify the errors in the recovery procedure including the orbital precision from GPS, attitude errors, accelerometer noise and thruster mismatch/misalignment. For the latter, numerical integrations using a variable length single-step Runge–Kutta integrator and a fixed length multi-step method are compared to assess the error associated with assuming that the thruster misalignment can be spread uniformly across a step interval. Error degree variances from simulated studies are compared to results from a recently released CHAMP-based gravity field, EIGEN-1S. It is seen that the orbital positioning, as derived from the onboard GPS receiver, is critical, with accelerometer noise contributing at a lower level. Attitude error, at currently quoted accuracy, is not significant as an error source.
AcknowledgementsThe authors would like to thank the UK Natural Environment Research Council (Grant No. NER/A/0000/00612) for financing this study and GFZ for supplying the data and technical support. 相似文献
20.
GOCE卫星是首颗搭载高精度梯度仪,通过加速度计差分测量确定地球重力场的现代重力卫星。该卫星设计为无阻尼飞行状态（沿轨方向）,加速度计并未安置在卫星质心,这些特点使得GOCE与标准的卫星跟踪卫星重力测量模式有着显著的区别。本文首先指出GOCE任务中普通模式加速度校准存在不严密性问题,并提出了分别校准6个加速度计,分离偏差参数的方案。利用GOCE任务期内的几何法精密轨道,采用动力法完成校准,并分析了无阻尼控制的效果,发现：①虽然GOCE所在轨道高度的中性大气密度较GRACE高两到三个量级,但GOCE卫星在沿轨方向的残余非保守力比GRACE卫星的对应分量小一个量级,充分显示了无阻尼控制系统的补偿效果;②通过精密轨道内插的轨道速度与动力法轨道速度的比较可以得出,卫星无阻尼控制系统对GOCE卫星速度的显著影响;③计算了GOCE卫星所受的非保守力。获得了GOCE任务期间的加速度计校准参数,并讨论了利用其辅助重力梯度仪数据预处理的可能方法。 相似文献