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1.
P. J. G. Teunissen 《Journal of Geodesy》1997,71(6):320-336
The present contribution is the first of four parts. It considers the precision of the floated and the fixed baseline. A
measure is introduced for the gain in baseline precision which is experienced when the carrier phase double-differenced ambiguities
are treated as integers instead of as reals. The properties of this measure are analyzed, and it is shown by means of principal
angles how it relates to the change over time of the relative receiver-satellite geometry. We also present canonical forms
of the baseline variance matrices for different measurement scenarios. These canonical forms make the relation between the
various variance matrices transparent and thus present a simple way of studying their relative merits.
Received: 16 July 1996; Accepted: 14 November 1996 相似文献
2.
电离层延迟是单频GPS地面沉降监测点的最主要误差源,如何削弱该误差的影响是提高单双频混合地面沉降监测系统精度的关键。采用中国广州南沙单双频混合GPS地面沉降监测网数据进行处理分析,结果表明,在低纬度地区即使基线较短,电离层延迟对单频GPS监测精度影响仍然较大,影响程度随基线长度增加而增大,而且在时间域上有明显的季节性变化规律:2、3月份与8、9月份电离层影响较为显著。利用双频点数据从观测值域对单频点电离层延迟误差进行改正,监测精度提高了57%,改善效果明显。 相似文献
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电离层总电子含量(TEC)会使合成孔径雷达干涉测量(In SAR)信号产生相位延迟,进而影响生成DEM的精度,特别是对L和P等长波段信号的影响不可忽略。因此,针对不同TEC分布模式的电离层开展研究,构建了电离层对星载In SAR测高精度的影响模型,提出了相应的校正方法,并进行了仿真实验。实验表明对于特定波长的In SAR信号,不同TEC分布模式对In SAR测高精度的影响不同:TEC均匀分布的电离层模型对In SAR测高精度的影响较小,并可通过相位解缠、基线估计等环节进行很好的补偿;而TEC不均匀分布的电离层模型对In SAR精度的影响较大,仅靠相位解缠等过程不能较好地消除,必须通过向干涉图中加入电离层影响模型予以纠正。 相似文献
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Least-squares variance component estimation 总被引：19，自引：15，他引：4
Least-squares variance component estimation (LS-VCE) is a simple, flexible and attractive method for the estimation of unknown
variance and covariance components. LS-VCE is simple because it is based on the well-known principle of LS; it is flexible
because it works with a user-defined weight matrix; and it is attractive because it allows one to directly apply the existing
body of knowledge of LS theory. In this contribution, we present the LS-VCE method for different scenarios and explore its
various properties. The method is described for three classes of weight matrices: a general weight matrix, a weight matrix
from the unit weight matrix class; and a weight matrix derived from the class of elliptically contoured distributions. We
also compare the LS-VCE method with some of the existing VCE methods. Some of them are shown to be special cases of LS-VCE.
We also show how the existing body of knowledge of LS theory can be used to one’s advantage for studying various aspects of
VCE, such as the precision and estimability of VCE, the use of a-priori variance component information, and the problem of
nonlinear VCE. Finally, we show how the mean and the variance of the fixed effect estimator of the linear model are affected
by the results of LS-VCE. Various examples are given to illustrate the theory. 相似文献
6.
对全球电离层反演数据处理中的计算密集型任务进行分析,针对数据预处理、组建法方程矩阵、参数预消除和法方程矩阵求逆等主要模块设计了基于OpenMP（Open Multi-Processing）的并行计算方案。该实验方案在单台服务器下实施,通过算例验证了本文并行计算方案的有效性和可靠性。实验结果表明:采用并行计算后,全球电离层快速解执行时间只需要10~13 min,计算速度加快了约6倍;最终解执行时间只需要39~47 min,计算速度加快了约5倍。本文全球电离层模型精度约为2.8~3.8 TECU,最终解模型精度相比快速解精度提高了约0.2 TECU,与IGS各个分析中心电离层产品精度基本相当。 相似文献
7.
电离层延迟是影响GPS精密定位的主要因素,对单频接收机的影响尤为明显。介绍了一种新的基于区域双频观测网构建电离层模型的方法,并选取德国境内平均基线超过300 km(最长基线为461 km)的一个长距离观测网连续10 d的数据对模型进行了检测分析。实验证明,基于该电离层模型,网内单频接收机用户可获得接近双频观测数据的解算精度,即使对于200 km的长距离基线,单频数据的基线解算结果都能够达到平面方向6 mm,高程方向2.5 cm。区域电离层延迟模型构造方法可被有效应用于GPS、GLONASS和GALILEO等各类卫星导航定位系统,满足事后、实时或准实时单频接收机精密数据处理的需要。 相似文献
8.
国家高精度GPS网整体平差中的粗差分析 总被引：1，自引：0，他引：1
分析了国家高精度ＧＰＳ网中的粗差观测量的特点,提出了采用相关分析的粗差探测理论,对国家高精度ＧＰＳ网的各子网和相邻子网进行粗差探测,并采用稳健估计的平差方法,消除粗差对平差结果的影响,大大提高了国家高精度ＧＰＳ网的整体平差精度。 相似文献
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硬件延迟是利用GPS进行TEC测量时最大的误差源,其影响可达30多TECU。为获得更准确的绝对TEC数值,必须利用一定的电离层模型计算得出GPS系统硬件延迟。本文为估算利用一个时段内的观测数据计算得出的硬件延迟对后续时段TEC测量的影响,利用IGS网络中60多个数据质量良好的GPS跟踪站数据,对硬件延迟的精度和稳定性进行了研究。结果表明:GPS系统硬件延迟在短期内具有较好的精度和稳定性,但是当发生电离层扰动现象时GPS系统硬件延迟的精度和稳定性会遭到破坏。同时根据GPS系统硬件延迟稳定性的研究成果,本文还提出了一种对太阳耀斑进行预报的观点。 相似文献
11.
L. E. Sjöberg 《Journal of Geodesy》1999,73(3):118-124
With access to dual-frequency pseudorange and phase Global Positioning System (GPS) data, the wide-lane ambiguity can easily
be fixed. Advantage is taken of this information in the linear combination of the above four observables for base ambiguity
estimation (i.e. of N
1 and N
2). Starting points for our analysis are the Best Linear Unbiased Estimators BLUE1 and BLUE2. BLUE1 is the best one (with minimum mean square error, MSE) if the ionosphere effect is negligible. If this is not the case, BLUE2 has the smallest variance, but not necessarily the least mean square error. Hence, both estimators may suffer from a non-optimal
treatment of the ionosphere bias. BLUE1 ignores possible ionosphere bias, while BLUE2 compensates for this bias in a less favourable way by eliminating it at the price of increased noise. As an alternative,
linear estimators are derived, which make a compromise between the ionosphere bias and the random observation errors. This
leads to the derivation of the Best Linear Estimator (BLE) and the Restricted Best Linear Estimator (RBLE) with minimum MSE.
The former is generally not very useful, while the RBLE is recommended for practical use. It is shown that the MSE of the
RBLE is limited by the variances of BLUE1 and BLUE2, i.e.
However, as is always the case with a BLE, it cannot be used strictly: some parameter (in this case the ionosphere bias) must
be approximately known.
Received: 25 June 1997 / Accepted: 16 November 1998 相似文献
12.
The least-squares wavelet analysis, an alternative to the classical wavelet analysis, was introduced in order to analyze unequally spaced and non-stationary time series exhibiting components with variable amplitude and frequency over time. There are a few methods such as cross-wavelet transform and wavelet coherence that can analyze two time series together. However, these methods cannot generally be used to analyze unequally spaced and non-stationary time series with associated covariance matrices that may have trends and/or datum shifts. A new method of analyzing two time series together, namely the least-squares cross-wavelet analysis, is developed and applied to study the disturbances in the gravitational gradients observed by GOCE satellite that arise from plasma flow in the ionosphere represented by Poynting flux. The proposed method also shows its outstanding performance on the Westford–Wettzell very long baseline interferometry baseline length and temperature series. 相似文献
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On the Mátern covariance family: a proposal for modeling temporal correlations based on turbulence theory 总被引：1，自引：1，他引：0
Current variance models for GPS carrier phases that take correlation due to tropospheric turbulence into account are mathematically difficult to handle due to numerical integrations. In this paper, a new model for temporal correlations of GPS phase measurements based on turbulence theory is proposed that overcomes this issue. Moreover, we show that the obtained model belongs to the Mátern covariance family with a smoothness of 5/6 as well as a correlation time between 125–175 s. For this purpose, the concept of separation distance between two lines-of-sight introduced by Schön and Brunner (J Geod 1:47–57, 2008a) is extended. The approximations made are highlighted as well as the turbulence parameters that should be taken into account in our modeling. Subsequently, fully populated covariance matrices are easily computed and integrated in the weighted least-squares model. Batch solutions of coordinates are derived to show the impact of fully populated covariance matrices on the least-squares adjustments as well as to study the influence of the smoothness and correlation time. Results for a specially designed network with weak multipath are presented by means of the coordinate scatter and the a posteriori coordinate precision. It is shown that the known overestimation of the coordinate precision is significantly reduced and the coordinate scatter slightly improved in the sub-millimeter level compared to solutions obtained with diagonal, elevation-dependent covariance matrices. Even if the variations are small, turbulence-based values for the smoothness and correlation time yield best results for the coordinate scatter. 相似文献
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本文在研究了目前存在方法的基础上,将数理统计中的方差分析周期叠加外推法应用于电离层短期预报,并对其作了改进。采用IGS提供的电离层TEC数据作为原始数据比较了该方法改进前后的预报精度,分别利用中国区域内不同地理位置的40天的数据进行分析预报,预报结果显示改进后的方法预报精度可达到1.1TECU左右,优于改进前。改进后的预报效果依然与经纬度有关,在中国区域内随着纬度的减小、经度的增加,预报精度会降低。通过与目前常用方法比较分析,该方法预报结果精度较高、所需计算参数少、简单易行,可以较好地应用于电离层短期预报。 相似文献
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电离层总电子含量TEC(Total Electron Content)是电离层的一个重要特征参数。对TEC的预报也已经成为电离层研究的一个热点。根据JS CORS中心提供的GPS观测数据,建立了区域实时多站多项式模型;并分别以模型计算得到的南京地区的电离层电子含量数据和苏州地区的电离层电子含量数据为样本,采用时间序列和BP神经网络融合模型进行了预报。结果表明,采用融合模型在短期预报中能够取得较好的效果,精度比时间序列模型提高20%左右。 相似文献
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P. J. G. Teunissen 《Journal of Geodesy》1997,71(9):513-525
This contribution is the last of four parts and deals with the link between baseline precision and ambiguity reliability.
It is shown analytically how and to what extent the baseline-ambiguity correlation is related to the gain in baseline precision,
to the volume of the ambiguity search space, and to the impact of potential integer ambiguity biases. Also, an ambiguity DOP
measure is introduced together with its closed-form formulae for the three different single-baseline models.
Received: 16 July 1996 / Accepted: 14 November 1996 相似文献