共查询到20条相似文献，搜索用时 156 毫秒
1.
利用国际上3个著名的数据分析处理中心CSR、JPL和GSFC给出的3种空间大地测量技术实测的台站运动速度场数据,解算不同空间技术速度场之间的转换参数,即速度场之间的系统差.在扣除两两技术之间速度场的系统差后,用速度场残差计算了空间技术速度场之间的不符值加权中误差作为衡量不同空间技术实测台站速度场的外部检核指标,即外符精度.计算结果表明,VLBI和GPS实测台站地心速度已经达到1 mm/a的精度;SLR实测台站地心速度已经达到2 mm/a的精度. 相似文献
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为了解ITRF2008框架下VLBI和GPS两种空间技术确定地心坐标的真正实现精度,在并置站上对VLBI和GPS两种空间技术测定的地心坐标进行了比较,经过偏心改正和七参数转换之后,得到两种空间技术地心坐标不符值的加权中误差,其可以认为是这两种空间技术的真正实现精度,经比较分析这两种地心坐标三个坐标轴方向分量的外符精度都在10mm之内,说明VLBI和GPS确定的地心坐标精度已达到毫米级。 相似文献
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为评价GPS、VLBI和SLR这3种空间技术确定地心坐标的真正实现精度,我们把3种技术在并置站上的地心坐标进行了相互比较。经过偏心改正和7个参数的转换后,可获得任意2种技术地心坐标不符值的加权中误差,以此作为外符精度。可以看出,VLBI与GPS地心坐标三分量的外符精度在1cm之内,SLR与VLBI和GPS地心坐标三分量的外符精度在1～3cm之间。表明VLBI和CPS实现的地心坐标精度比SLR高一些,已达毫米级。 相似文献
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通过处理福建省卫星导航定位基准服务系统(FJCORS)2013-2015年观测资料,获得GPS站实测运动速度值,在此基础上,分别利用多面函数拟合法和欧拉矢量法构建了福建省及周边区域GPS速度场模型．内符合精度方面,多面函数拟合的速度精度南北分量为1.06 mm／a、东西分量为2.00 mm／a;欧拉矢量法得到的速度精度南北分量为1.36 mm／a、东西分量为1.22 mm／a．外符合精度方面,两种方法模拟得到的检核点速度值与实测速度值的较差均在±2.28 mm／a以内．在福建省陆域内,两种方法得到的速度场具有高度的一致性,运动速度均为35 mm／a左右,运动方向为SE-E向． 相似文献
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在GPS定位中,其结果为地心坐标系(W GS-84),实际运用中必须把地心坐标系转化为国家大地坐标系。即GPS网点与国家大地控制点(一般不少于3个)重合,就可准确地确定GPS网与地面网之间的转换参数,重合点是GPS网约束平差时的基准点,重合点的误差和点位分布将影响GPS网约束平差的精度,所以必须对其进行精度检验。本文介绍了GPS网中已知重合点可靠性检验的几种方法,即实测基线比较法、附合路线闭合差法、约束平差分析法。 相似文献
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利用1999—2009年间中国大陆共1068个GPS站点在东方向、北方向的速度值,采用DOG球面小波多尺度分析方法,建立了中国大陆东方向、北方向多尺度速度场。球面小波模型的尺度主要根据观测站点的密度来确定,利用检核点上的已知速度与模型速度之间的均方差来评定模型的精度。利用球面小波模型可以更加清晰地表示速度场的大尺度特征和复杂的局部变化特征。站点稠密区域,模型在东方向、北方向上的精度分别为±0.95mm/a、±0.97mm/a,稀疏区域对应的精度分别为±1.32mm/a和±1.30mm/a。 相似文献
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《武汉大学学报(信息科学版)》2021,(7)
现有研究中,中国大陆速度场模型容易出现数据量小、连续性不佳、现势性不强等问题。基于近7年的中国地壳运动观测网络工程连续运行基准站GNSS(global navigation satellite system)观测数据,解算得到高精度陆态网基准站点的点位坐标和速度场,并利用提出的局部无缝Delaunay三角网反距离加权模型构建中国大陆格网速度场。相较现有的NNR-NUVEL1A(no net rotation Nubia velocity 1A)欧拉矢量模型与常用的速度场数值拟合模型,局部无缝Delaunay三角网反距离加权模型的精度最高,其水平速度场拟合精度优于1.5 mm/a;采用陆态网约1 800个区域站进行外部检核,结果表明,东、北方向速度差值的绝对值平均值分别为1.11 mm/a、0.90 mm/a,中误差分别为1.50 mm/a、1.35 mm/a。相较于整体三角网而言,局域三角网在大陆边缘地区的拟合精度更优,水平速度场的插值精度更高,平均可以提高约0.3 mm/a,且不易产生粗差。局部无缝Delaunay三角网反距离加权模型不仅考虑了邻近点的距离和方位信息,还可以刻画出更为精细的局部特征,同时克服了边缘地区整体三角网跨度过大以及二级块体边缘处三角网不连续的缺点。 相似文献
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Strategies to mitigate aliasing of loading signals while estimating GPS frame parameters 总被引：7，自引：5，他引：2
Although GNSS techniques are theoretically sensitive to the Earth center of mass, it is often preferable to remove intrinsic
origin and scale information from the estimated station positions since they are known to be affected by systematic errors.
This is usually done by estimating the parameters of a linearized similarity transformation which relates the quasi-instantaneous
frames to a long-term frame such as the International Terrestrial Reference Frame (ITRF). It is well known that non-linear
station motions can partially alias into these parameters. We discuss in this paper some procedures that may allow reducing
these aliasing effects in the case of the GPS techniques. The options include the use of well-distributed sub-networks for
the frame transformation estimation, the use of site loading corrections, a modification of the stochastic model by downweighting
heights, or the joint estimation of the low degrees of the deformation field. We confirm that the standard approach consisting
of estimating the transformation over the whole network is particularly harmful for the loading signals if the network is
not well distributed. Downweighting the height component, using a uniform sub-network, or estimating the deformation field
perform similarly in drastically reducing the amplitude of the aliasing effect. The application of these methods to reprocessed
GPS terrestrial frames permits an assessment of the level of agreement between GPS and our loading model, which is found to
be about 1.5 mm WRMS in height and 0.8 mm WRMS in the horizontal at the annual frequency. Aliased loading signals are not
the main source of discrepancies between loading displacement models and GPS position time series. 相似文献
12.
Vertical deformations from homogeneously processed GRACE and global GPS long-term series 总被引：3，自引：1，他引：2
Volker Tesmer Peter Steigenberger Tonie van Dam Torsten Mayer-Gürr 《Journal of Geodesy》2011,85(5):291-310
Temporal variations in the geographic distribution of surface mass cause surface displacements. Surface displacements derived
from GRACE gravity field coefficient time series also should be observed in GPS coordinate time series, if both time series
are sufficiently free of systematic errors. A successful validation can be an important contribution to climate change research,
as the biggest contributors to mass variability in the system Earth include the movement of oceanic, atmospheric, and continental
water and ice. In our analysis, we find that if the signals are larger than their precision, both geodetic sensor systems
see common signals for almost all the 115 stations surveyed. Almost 80% of the stations have their signal WRMS decreased,
when we subtract monthly GRACE surface displacements from those observed by GPS data. Almost all other stations are on ocean
islands or small peninsulas, where the physically expected loading signals are very small. For a fair comparison, the data
(79 months from September 2002 to April 2009) had to be treated appropriately: the GPS data were completely reprocessed with
state-of-the-art models. We used an objective cluster analysis to identify and eliminate stations, where local effects or
technical artifacts dominated the signals. In addition, it was necessary for both sets of results to be expressed in equivalent
reference frames, meaning that net translations between the GPS and GRACE data sets had to be treated adequately. These data
sets are then compared and statistically analyzed: we determine the stability (precision) of GRACE-derived, monthly vertical
deformation data to be ~1.2 mm, using the data from three GRACE processing centers. We statistically analyze the mean annual
signals, computed from the GPS and GRACE series. There is a detailed discussion of the results for five overall representative
stations, in order to help the reader to link the displayed criteria of similarity to real data. A series of tests were performed
with the goal of explaining the remaining GPS–GRACE residuals. 相似文献
13.
北斗导航系统精密单点定位在地壳运动监测中的应用分析 总被引：1，自引：1，他引：0
主要基于7个台站观测到的BDS/GPS双模连续观测数据,时间跨度在2 a以上,利用武汉大学自主研发的PANDA软件的精密单点定位模式,对比分析了BDS/GPS双模观测数据的单系统定位精度,并探讨了BDS在地壳运动监测中的能力。通过对这些观测数据的解算及分析,结果表明,BDS在水平向的定位精度约为17 mm,垂向定位精度约为40 mm;GPS在水平向的定位精度要优于10 mm,垂向定位精度约为14 mm。基线统计结果显示,BDS检测弱信号的能力要低于GPS,但仍能够准确反映站点间基线长度和变化率特征。对比分析BDS和GPS得到的速度场,结果显示,两套速度场在水平向之间差值约为1~2 mm/a,且不存在系统性的差异。总体来看,虽然目前BDS精密单点定位精度要低于GPS,但是BDS目前仍可以用于监测形变量较大的地区地壳运动。 相似文献
14.
We examine the contribution of the Doppler Orbit determination and Radiopositioning Integrated by Satellite (DORIS) technique to the International Terrestrial Reference Frame (ITRF2005) by evaluating the quality of the submitted solutions as well as that of the frame parameters, especially the origin and the scale. Unlike the previous versions of the ITRF, ITRF2005 is constructed with input data in the form of time-series of station positions (weekly for satellite techniques and daily for VLBI) and daily Earth orientation parameters (EOPs), including full variance–covariance information. Analysis of the DORIS station positions’ time-series indicates an internal precision reaching 15 mm or better, at a weekly sampling. A cumulative solution using 12 years of weekly time-series was obtained and compared to a similar International GNSS Service (IGS) GPS solution (at 37 co-located sites) yielding a weighted root mean scatter (WRMS) of the order of 8 mm in position (at the epoch of minimum variance) and about 2.5 mm/year in velocity. The quality of this cumulative solution resulting from the combination of two individual DORIS solutions is better than any individual solution. A quality assessment of polar motion embedded in the contributed DORIS solutions is performed by comparison with the results of other space-geodetic techniques and in particular GPS. The inferred WRMS of polar motion varies significantly from one DORIS solution to another and is between 0.5 and 2 mas, depending on the strategy used and in particular estimating or not polar motion rate by the analysis centers. This particular aspect certainly needs more investigation by the DORIS Analysis Centers. 相似文献
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为了评估北斗卫星导航系统（BeiDou navigation satellite system, BDS）监测中国大陆地区地壳变形的技术能力,利用GAMIT/GLOBK软件处理了2017—2019年中国大陆构造环境监测网络23个基准站的全球定位系统（global positioning system, GPS）与BDS-2双模观测数据。结果显示,北斗二代的水平和垂向单日测站定位精度分别约为5~7 mm和13 mm,基线相对定位精度水平分量达到3~4 mm+（1~2）×10-8,水平位移速度测定精度约为0.6 mm/a。北斗二代的精密定位水平大致与20世纪90年代初GPS相当,可用于测定大尺度的板块运动及板内变形,但受卫星星座和定轨精度限制,不能准确反映季节性变动状态。作为对现有GPS监测的补充,可将基准站3年尺度的地壳运动监测精度最多提高20%。 相似文献
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Benedikt Soja Richard S. Gross Claudio Abbondanza Toshio M. Chin Michael B. Heflin Jay W. Parker Xiaoping Wu Tobias Nilsson Susanne Glaser Kyriakos Balidakis Robert Heinkelmann Harald Schuh 《Journal of Geodesy》2018,92(9):1063-1077
The Global Geodetic Observing System requirement for the long-term stability of the International Terrestrial Reference Frame is 0.1 mm/year, motivated by rigorous sea level studies. Furthermore, high-quality station velocities are of great importance for the prediction of future station coordinates, which are fundamental for several geodetic applications. In this study, we investigate the performance of predictions from very long baseline interferometry (VLBI) terrestrial reference frames (TRFs) based on Kalman filtering. The predictions are computed by extrapolating the deterministic part of the coordinate model. As observational data, we used over 4000 VLBI sessions between 1980 and the middle of 2016. In order to study the predictions, we computed VLBI TRF solutions only from the data until the end of 2013. The period of 2014 until 2016.5 was used to validate the predictions of the TRF solutions against the measured VLBI station coordinates. To assess the quality, we computed average WRMS values from the coordinate differences as well as from estimated Helmert transformation parameters, in particular, the scale. We found that the results significantly depend on the level of process noise used in the filter. While larger values of process noise allow the TRF station coordinates to more closely follow the input data (decrease in WRMS of about 45%), the TRF predictions exhibit larger deviations from the VLBI station coordinates after 2014 (WRMS increase of about 15%). On the other hand, lower levels of process noise improve the predictions, making them more similar to those of solutions without process noise. Furthermore, our investigations show that additionally estimating annual signals in the coordinates does not significantly impact the results. Finally, we computed TRF solutions mimicking a potential real-time TRF and found significant improvements over the other investigated solutions, all of which rely on extrapolating the coordinate model for their predictions, with WRMS reductions of almost 50%. 相似文献
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联合绝对重力和重力反演与气候实验卫星（gravity recovery and climate experiment,GRACE）重力多年观测数据,获得了青藏高原多个基准站区域的地壳垂直形变速率。研究结果表明,绝对重力呈明显的负变化,绝对重力和卫星重力的时变系统差也呈较一致的负值,鼎新（DXIN）、德令哈（DLHA）、西宁（XNIN）、拉萨（LHAS）和仲巴（XZZB）5个基准站的区域地壳垂直形变呈明显的隆升状态,即拉萨块体、祁连块体和阿拉善块体处于地壳隆升状态,隆升速率分别约为2.01±0.15 mm/a、1.88±0.19mm/a、1.91±0.10 mm/a。在印度板块和欧亚板块的双向挤压下,青藏高原的地壳在不断的隆升与增厚,平均隆升速率约为1.94±0.17 mm/a,平均增厚速率约为2.35±3.30 mm/a。 相似文献
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简化VVP反演算法在台风风场反演中的应用 总被引：2，自引：0，他引：2
多普勒雷达资料的体积速度处理VVP(Volume Velocity Processing)风场反演方法可反演风场的3维结构,但由于算法的系数矩阵病态问题易导致反演风场产生误差。本文针对VVP算法中反演参数的性质,进行了简化算法的模拟检验和误差分析。选取量级最大的3个主要参量进行反演,引入随机的观测误差,通过改变模拟风速确定了反演算法的适用范围。对比结果发现,简化算法的反演结果对观测误差并不敏感,而且从低仰角到高仰角的均方根误差基本不变,当风速较大时,反演的精度会更准确。对0608"桑美"台风的风场反演表明,该算法较真实地反演出了台风中心及眼区外围的风场,并与Rankine台风模型相符。研究表明,简化VVP算法可清晰地揭示台风内部水平风场的3维结构,可以应用于台风等灾害性天气的风场反演与分析。 相似文献
20.
Improved GRACE science results after adjustment of geometric biases in the Level-1B K-band ranging data 总被引：3，自引：1，他引：2
Martin Horwath Jean-Michel Lemoine Richard Biancale Stéphane Bourgogne 《Journal of Geodesy》2011,85(1):23-38
The GRACE (Gravity Recovery and Climate Experiment) satellite mission relies on the inter-satellite K-band microwave ranging
(KBR) observations. We investigate systematic errors that are present in the Level-1B KBR data, namely in the geometric correction.
This correction converts the original ranging observation (between the two KBR antennas phase centers) into an observation
between the two satellites’ centers of mass. It is computed from data on the precise alignment between both satellites, that
is, between the lines joining the center of mass and the antenna phase center of either satellite. The Level-1B data used
to determine this alignment exhibit constant biases as large as 1–2 mrad in terms of pitch and yaw alignment angles. These
biases induce non-constant errors in the Level-1B geometric correction. While the precise origin of the biases remains to
be identified, we are able to estimate and reduce them in a re-calibration approach. This significantly improves time-variable
gravity field solutions based on the CNES/GRGS processing strategy. Empirical assessments indicate that the systematic KBR
data errors have previously induced gravity field errors on the level of 6–11 times the so-called GRACE baseline error level.
The zonal coefficients (from degree 14) are particularly affected. The re-calibration reduces their rms errors by about 50%.
As examples for geophysical inferences, the improvement enhances agreement between mass variations observed by GRACE and in-situ
ocean bottom pressure observations. The improvement also importantly affects estimates of inter-annual mass variations of
the Antarctic ice sheet. 相似文献