共查询到20条相似文献，搜索用时 31 毫秒
1.
Nicola Perfetti 《Journal of Geodesy》2006,80(7):381-396
The Detection Identification Adaptation (DIA) procedure was applied to the coordinate time-series of some permanent GPS stations belonging to the Italian GPS Fiducial Network (IGFN), of the Italian Space Agency (ASI), to detect discontinuities and to reject outliers. The daily solutions of the stations of Cagliari, Genoa, Medicina, Noto, Turin, Perugia and Venice were computed for the period 1997.0–2003.0 using Bernese GPS software v.4.2. The data were interpolated using a model with a linear term and an annual periodic term. The parameters were estimated by least squares. The DIA procedure was organized to automatically detect discontinuities and outliers. Approximately, 70% of the discontinuities present in the coordinate time-series were identified and their magnitudes were estimated. The identified discontinuities are basically caused by equipment replacement and reference frame changes, but in a few cases the reason is still unknown. With regard to the outliers, roughly 6% of the data were rejected. These data were considered outliers on the base of the level of significance and of the power of the test adopted in this work. Except for the stations of Perugia and Venice, the estimated coordinates agree with ITRF2000 values at the 10 mm level, and the estimated velocities are within a few mm/year of the ITRF2000 values. 相似文献
2.
A. El-Mowafy 《GPS Solutions》2014,18(4):553-561
A method is presented for real-time validation of GNSS measurements of a single receiver, where data from each satellite are independently processed. A geometry-free observation model is used with a reparameterized form of the unknowns to overcome rank deficiency of the model. The ionosphere error and non-constant biases such as multipath are assumed changing relatively smoothly as a function of time. Data validation and detection of errors are based on statistical testing of the observation residuals using the detection–identification–adaptation approach. The method is applicable to any GNSS with any number of frequencies. The performance of validation method was evaluated using multi-frequency data from three GNSS (GPS, GLONASS, and Galileo) that span 3 days in a test site at Curtin University, Australia. Performance of the method in detection and identification of outliers in code observations, and detection of cycle slips in phase data were examined. Results show that the success rate vary according to precision of observations and their number as well as size of the errors. The method capability is demonstrated when processing four IOV Galileo satellites in a single-point-positioning mode and in another test by comparing its performance with Bernese software in detection of cycle slips in precise point-positioning processing using GPS data. 相似文献
3.
不同类型识别变量的自回归模型异常值探测的Bayes方法 总被引：1，自引：0，他引：1
讨论基于自回归模型(AR模型)的时间序列数据中异常值探测的Bayes方法。该方法针对自回归模型引入不同类型的识别变量,通过比较这些识别变量的后验概率值与事先给定的阈值来进行异常值定位;基于Gibbs抽样算法,提出识别变量后验概率值的计算方法和异常值的估算方法;进行了大量的模拟试验并把该方法应用于卫星钟差实测数据的异常值探测,结果表明,该方法对于解决时间序列数据中在同一时刻或不同时刻出现加性异常值或革新异常值的探测问题是可行的和有效的。 相似文献
4.
Bayesian methods for outliers detection in GNSS time series 总被引：1，自引：0，他引：1
This article is concerned with the problem of detecting outliers in GNSS time series based on Bayesian statistical theory. Firstly, a new model is proposed to simultaneously detect different types of outliers based on the conception of introducing different types of classification variables corresponding to the different types of outliers; the problem of outlier detection is converted into the computation of the corresponding posterior probabilities, and the algorithm for computing the posterior probabilities based on standard Gibbs sampler is designed. Secondly, we analyze the reasons of masking and swamping about detecting patches of additive outliers intensively; an unmasking Bayesian method for detecting additive outlier patches is proposed based on an adaptive Gibbs sampler. Thirdly, the correctness of the theories and methods proposed above is illustrated by simulated data and then by analyzing real GNSS observations, such as cycle slips detection in carrier phase data. Examples illustrate that the Bayesian methods for outliers detection in GNSS time series proposed by this paper are not only capable of detecting isolated outliers but also capable of detecting additive outlier patches. Furthermore, it can be successfully used to process cycle slips in phase data, which solves the problem of small cycle slips. 相似文献
5.
Shirong Ye Yanyan Liu Weiwei Song Yidong Lou Wenting Yi Rui Zhang Peng Jiang Yu Xiang 《GPS Solutions》2016,20(1):101-110
A key limitation of precise point positioning (PPP) is the long convergence time, which requires about 30 min under normal conditions. Frequent cycle slips or data gaps in real-time operation force repeated re-convergence. Repairing cycle slips with GPS data alone in severely blocked environments is difficult. Adding GLONASS data can supply redundant observations, but adds the difficulty of having to deal with differing wavelengths. We propose a single-difference between epoch (SDBE) method to integrate GPS and GLONASS for cycle slip fixing. The inter-system bias can be eliminated by SDBE, thus only one receiver clock parameter is needed for both systems. The inter-frequency bias of GLONASS satellites also cancels in the SDBE, so cycle slips are preserved as integers, and the LAMBDA method is adopted to search for cycle slips. Data from 7 days of 20 globally distributed IGS sites were selected to test the proposed cycle slip fixing procedure with artificial blocking of the signal; cycle slips were introduced for all un-blocked satellites at each epoch. For a 30-s sampling interval, the average success rate of fixing can be improved from 73 to 98 % by adding GLONASS. Even for a 180-s sampling interval, GPS + GLONASS can achieve a success rate of 81 %. A real-time kinematic PPP experiment was also performed, and the results show that using GPS + GLONASS can achieve continuous high-accuracy real-time PPP without re-convergence. 相似文献
6.
The network-based real-time kinematic (RTK) positioning has been widely used for high-accuracy applications. However, the precise point positioning (PPP) technique can also achieve centimeter to decimeter kinematic positioning accuracy without restriction of inter-station distances but is not as popular as network RTK for real-time engineering applications. Typically, PPP requires a long initialization time and continuous satellite signals to maintain the high accuracy. In case of phase breaks or loss of signals, re-initialization is usually required. An approach of instantaneous cycle slips fixing using undifferenced carrier phase measurements is proposed, which leads to instantaneous re-initialization for real-time PPP. In the proposed approach, various errors such as real-time orbit and clock errors, atmosphere delay and wind-up effects are first refined and isolated from integer cycle slips. The integer values of cycle slips can then be estimated and fixed with the LAMBDA technique by applying a cascade cycle slip resolution strategy. Numerical experiments with different user dynamics are carried out to allow a comprehensive evaluation of efficiency and robustness of the cycle slip fixing algorithm. The results show that the cycle slips can be fixed correctly in all cases considered and that data gaps of up to 300?s can be connected with high confidence. As a result, instantaneous re-initialization is achieved in the real-time PPP processing. 相似文献
7.
Carrier phase–based positioning using Global Navigation Satellite System (GNSS) signals can provide centimeter-level accuracy; however, to do so requires robust, continuous tracking of the phase of the received signal. The phase-locked loop is typically the weakest link in GNSS signal processing, with frequent cycle slips and loss of lock occurring at lower signal-to-noise ratios. One way to improve the signal-to-noise ratio is to increase the coherent integration time; however doing so reduces the loop update rate, thereby degrading performance. This paper investigates this trade-off between sensitivity and loop update rate by investigation of the Kalman filter-based tracking loop. It is shown that it is possible to choose an optimal integration time for a given application. A relatively straightforward procedure is given to determine this optimal value. The results are confirmed through real-time kinematic processing of live satellite signals. 相似文献
8.
P. J. G. Teunissen 《Journal of Geodesy》2018,92(1):59-80
The DIA method for the detection, identification and adaptation of model misspecifications combines estimation with testing. The aim of the present contribution is to introduce a unifying framework for the rigorous capture of this combination. By using a canonical model formulation and a partitioning of misclosure space, we show that the whole estimation–testing scheme can be captured in one single DIA estimator. We study the characteristics of this estimator and discuss some of its distributional properties. With the distribution of the DIA estimator provided, one can then study all the characteristics of the combined estimation and testing scheme, as well as analyse how they propagate into final outcomes. Examples are given, as well as a discussion on how the distributional properties compare with their usage in practice. 相似文献
9.
10.
The detection of cycle slips in carrier-phase data, outliers in phase rate or in code ranges, or any other type of disorder
in the measurements of the GPS system, is one of the major quality-control problems that needs to be addressed, especially
where GPS is used for real-time applications or for those applications that require continuous and reliable positioning results.
This study is concerned with designing algorithms to detect failures or changes of small magnitude, in order to monitor and
control the quality of GPS measurements for critical real-time and/or deformation applications. In this regard, the statistical
technique known as the cumulative-sum test is described for the detection of abrupt changes in the GPS carrier-phase measurements.
Real GPS data have been used to test and evaluate the algorithm.
Received: 27 August 1996 / Accepted: 26 February 1997 相似文献
11.
本文针对多项式法探测周跳的问题,从理论上分析了多项式拟合的预测误差,认为预测模型系数的不准确使得预报残差中含有模型预测残差,并提出一种估算模型预测残差的办法。进一步提出了一种较精确的计算周跳的方法——预测残差修正法,最后用实际数据进行了验算,证明该方法有效。 相似文献
12.
This paper describes a low earth orbiter micro-satellite attitude determination algorithm using GPS phase and pseudorange
data as the only observables. It is designed to run in real-time, at a rate of 10 Hz, on-board the spacecraft, using minimal
chip and memory resources. The spacecraft design includes four GPS antennas deployed on boom arms to improve the antenna separations.
The boom arms feature smart sensors, from which time-varying deformation data are used to calculate changes in the body-fixed
system (BFS) co-ordinates of the attitude antennas. These data are used as input to the attitude algorithm to improve the
accuracy of the output.
The conventional double-difference phase observation equations have been re-arranged so that the only unknown parameters in
the functions (once the ambiguities have been determined) are the spacecraft Euler angles. This greatly increases the redundancy
in the mathematical model, and is exploited to enhance the algorithm's ability to trap observations contaminated by unmodelled
multipath. This approach has been shown to be successful in identifying phase outliers at the 5–10 mm level. Speed of execution
of the program is improved by utilising numerical differentiation of the model equations in the linearisation process. Furthermore,
as the number of solve-for parameters is reduced to three by the chosen mathematical model, matrix inversion requirements
are minimised. A novel approach to ambiguity resolution and determination of initial estimates of the attitude parameters
has been developed utilising a heuristic technique and the known, and time varying, BFS co-ordinates of the antenna array.
Algorithm testing is based on a simulation of the micro-satellite trajectory combined with variations in attitude derived
from spin-stabilisation and periodic roll and pitch parameters. The trajectory of the spacecraft centre of mass was calculated
by numerical integration of a force model using Earth gravity field parameters, third body effects due to the Sun and the
Moon, dynamic Earth tide effects (solar and lunar), and a solar radiation pressure model. Frame transformations between J2000
and ITRF97 used the IERS conventions. A similar approach was used to calculate the trajectories of all available GPS satellites
during the same period, using initial conditions of position and velocity from IGS precise orbits. RMS differences between
the published precise orbit and the integrated satellite positions were at the 5-mm level. Phase observables are derived from
these trajectories, biased by simulation of receiver and satellite clock errors, cycle slips, random or systematic noise and
initial integer ambiguities. In the actual simulation of the attitude determination process in orbit, GPS satellite positions
are calculated using broadcast ephemerides.
The results show that the aim of 0.05° (two sigma) attitude precision can be met provided that the phase noise can be reduced
to the level of 1–2 mm. Attitude precision was found to vary strongly with constellation geometry, which can change quite
rapidly depending on the variations in spacecraft attitude. The redundancy in the mathematical model was found to be very
effective in trapping and isolating cycle slips to the double difference observations that are contaminated. This allows for
the possibility of correcting for cycle slips without full recourse to the ambiguity resolution algorithm.
Electronic Publication 相似文献
13.
A new automated cycle slip detection and repair method for a single dual-frequency GPS receiver 总被引：12，自引：2，他引：10
Zhizhao Liu 《Journal of Geodesy》2011,85(3):171-183
This paper develops a new automated cycle slip detection and repair method that is based on only one single dual-frequency
GPS receiver. This method jointly uses the ionospheric total electron contents (TEC) rate (TECR) and Melbourne–Wübbena wide
lane (MWWL) linear combination to uniquely determine the cycle slip on both L1 and L2 frequencies. The cycle slips are inferred
from the information of ionospheric physical TECR and MWWL ambiguity at the current epoch and that at the previous epoch.
The principle of this method is that when there are cycle slips, the MWWL ambiguity will change and the ionospheric TECR will
usually be significantly amplified, the part of artificial TECR (caused by cycle slips) being significantly larger than the
normal physical TECR. The TECR is calculated based on the dual-frequency carrier phase measurements, and it is highly accurate.
We calculate the ionospheric change information (including TECR and TEC acceleration) using the previous epochs (30 epochs
in this study) and use the previous data to predict the TECR for the epoch needing cycle slip detection. If the discrepancy
is larger than our defined threshold 0.15 TECU/s, cycle slips are regarded to exist at that epoch. The key rational of method
is that during a short period (1.0 s in this study) the TECR of physical ionospheric phenomenon will not exceed the threshold.
This new algorithm is tested with eight different datasets (including one spaceborne GPS dataset), and the results show that
the method can detect and correctly repair almost any cycle slips even under very high level of ionospheric activities (with
an average Kp index 7.6 on 31 March 2001). The only exception of a few detected but incorrectly repaired cycle slip is due
to a sudden increased pseudorange error on a single satellite (PRN7) under very active ionosphere on 31 March 2001. This method
requires dual-frequency carrier phase and pseudorange data from only one single GPS receiver. The other requirement is that
the GPS data rate ideally is 1 Hz or higher in order to detect small cycle slips. It is suitable for many applications where
one single receiver is used, e.g. real-time kinematic rover station and precise point positioning. An important feature of
this method is that it performs cycle slip detection and repair on a satellite-by-satellite basis; thus, the cycle slip detection
and repair for each satellite are completely independent and not affected by the data of other satellites. 相似文献
14.
本文以出行发生量模型的建立为例,较为系统地讨论了近代回归分析中的自变量选择及回归诊断方法在交通调查分析建模中的应用。分析了在获取调查数据后,如何借助回归自变量选择方法来选择最佳自变量子集,以确定简捷的回归模型;文中应用回归诊断方法,讨论了修正回归模型、探测错误的调查数据的方法,从而为建立简捷、高精度的交通模型打下了基础。最后,作者提出了应用自变量选择及回归诊断方法建立出行发行量模型的一般步骤。 相似文献
15.
A Multiscale Approach for Spatio-Temporal Outlier Detection 总被引：1，自引：0，他引：1
A spatial outlier is a spatially referenced object whose thematic attribute values are significantly different from those of other spatially referenced objects in its spatial neighborhood. It represents an object that is significantly different from its neighbourhoods even though it may not be significantly different from the entire population. Here we extend this concept to the spatio‐temporal domain and define a spatial‐temporal outlier (ST‐outlier) to be a spatial‐temporal object whose thematic attribute values are significantly different from those of other spatially and temporally referenced objects in its spatial or/and temporal neighbourhoods. Identification of ST‐outliers can lead to the discovery of unexpected, interesting, and implicit knowledge, such as local instability or deformation. Many methods have been recently proposed to detect spatial outliers, but how to detect the temporal outliers or spatial‐temporal outliers has been seldom discussed. In this paper we propose a multiscale approach to detect ST‐outliers by evaluating the change between consecutive spatial and temporal scales. A four‐step procedure consisting of classification, aggregation, comparison and verification is put forward to address the semantic and dynamic properties of geographic phenomena for ST‐outlier detection. The effectiveness of the approach is illustrated by a practical coastal geomorphic study. 相似文献
16.
星载原子钟在运行过程中会受到恶劣空间环境与设备老化等因素的影响,使得卫星钟差数据中经常存在异常值,其中AO(additive outlier)类异常值是钟差序列中常见的一类异常值.结合最大期望算法与自回归滑动平均(autoregressive moving average, ARMA)模型,提出一种AO类异常值探测算法... 相似文献
17.
分析了TurboEdit方法中MW组合和GF组合的缺陷,提出了GPS双频非差周跳探测修复SET（satellite elevation TurboEdit）法。设计了自适应滑动窗口模型对MW组合进行改进,避免了在低高度角时引入多径误差和噪声误差对后续处理精度的影响,增强了对小周跳的探测与修复能力。对GF（geometry-free）组合中引入的伪距误差采用历元间求差法进行替换,同时在卫星低高度角时,对其探测阈值引入高度角加权系数,有效剔除虚假周跳,提高周跳探测成功率与可靠性。在探测出周跳后,联合两种方法组合进行周跳修复。实验结果表明,SET法能够有效地抑制低高度角时的多径效应和观测噪声,降低周跳误探率,并对周跳进行有效修复。 相似文献
18.
19.
若全球卫星导航系统(GNSS)观测值域综合改正数中存在粗差或周跳则不可避免地会影响精密单点定位(PPP)增强的定位结果. 针对综合改正数中可能存在的异常,对综合改正数质量控制方法开展研究并提出异常识别与控制算法. 该算法根据综合改正数特点,利用经过频间和二阶历元间差分后的综合改正数组合值采用中位数法进行异常识别与定位,并对使用该异常值的卫星采用模糊度重新初始化、降权或剔除方法进行控制处理,以减少异常值对结果的影响. 以平均边长为26 km的部分香港连续运行参考站(CORS)组成的参考网以及科廷大学提供的零基线数据对该方法验证,结果表明:对30 s采样间隔的数据该方法能够有效探测出差分组合值中大部分1周以上的较大异常和部分1周以内的异常,有效控制部分异常值对定位结果的影响. 相似文献