共查询到19条相似文献，搜索用时 156 毫秒
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针对传统的GPS时间序列最小二乘(LS)谐波函数模型方法不能精确提取GPS垂向时间序列的周期项信号问题,该文以云南地区2011年1月—2017年6月连续观测的27个GPS基准站数据为例,使用主成分分析(PCA)获得27个测站的共模误差,然后分别使用奇异谱分析(SSA)和LS方法对PCA滤波前后的测站时间序列进行周期项信号提取.实验结果表明,原始时间序列分别减去SSA、PCA-SSA、LS和PCA-LS提取周期项信号的RMS减少百分比平均为25.66％、17.23％、16.76％、16.76％;原始时间序列与4种方法提取周期项信号的相关系数平均为0.66、0.55、0.54、0.54,说明SSA提取的周期项信号要优于其他3种方法,将SSA应用于云南地区GPS垂向时间序列的周期项信号提取是可行和有效的. 相似文献
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GPS坐标序列噪声模型估计方法研究 总被引：1，自引：1，他引：0
<正>随着空间观测技术的高速发展,GPS已成为大地测量领域重要的观测技术手段之一。全球IGS基准站积累了近20余年的位置时间序列,为大地测量及地球动力学研究提供了丰富的基础数据。GPS坐标序列不仅包含构造信号,也包含地表环境负载以及未模型化的误差等干扰源的影响,降低了GPS解的精度与可靠性。分析GPS时间序列,尤其是坐标时间序列非线性变化,进一步深入系统地了解GPS非线性变化起源及其影响机制,建立相 相似文献
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GPS时间序列周期信号的精准提取对趋势的估计具有重要的影响。相较于传统的常数振幅周期信号模型,已有研究表明GPS时间序列周期信号的振幅是随时间变化的。实际的GPS时间序列存在异常值,且在提取周期信号过程中会产生新的异常值。针对以上两点,该文提出了一种基于Huber函数M估计(HM)的GPS坐标时间序列时变振幅周期信号估计方法:采用关于时间的多项式函数来建立时变振幅模型,由HM方法及交替方向乘子法求解。通过模拟数据及实际GPS站点数据将HM方法与小波分解方法、奇异谱分析方法和滑动最小二乘方法进行比较,结果表明HM方法在估计精度上要优于其他3种方法,弥补了已有方法在时变振幅情形下会吸收噪声以及噪声较强时对周期信号提取能力较弱的不足。 相似文献
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GPS站坐标时间序列中存在的周期性与非周期性误差严重影响了对测站运动特征的分析及其非线性变化的物理机制解释。因此,为削弱噪声的影响,本文首先利用区域叠加滤波法去除了南加利福尼亚地区16个测站时间序列的共模误差,以此削弱时间序列中存在的包括周年和半周年误差在内的周期性误差。为去除滤波后残留的噪声,对滤波后的信号进行静态离散小波变换,提取了周期为半周年以上的信号。结果表明,联合区域叠加滤波法与小波变换对GPS站坐标时间序列进行处理,既能够削弱周期性误差对信号的影响,又能较好地提取测站的非线性运动信号。 相似文献
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通过双差方法难以消除的多路径误差、接收机观测噪声等非模型化误差会大大影响GPS动态定位的精度.基于小波分析的理论,对GPS双差观测数据序列的消噪问题进行研究,结果表明,利用小波去噪原理,可有效地从受到强噪声干扰的GPS观测数据序列中提取变形特征信息,增强基线解算的有效性,提高GPS定位精度,解决传统技术对GPS动态监测... 相似文献
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GPS残差信号提取的时间序列分析方法 总被引：1，自引：0，他引：1
作者使用零基线单差模型研究并讨论了GPS量测噪声的时相关特性,并得出了GPS观测噪声具有类似白噪声或一阶高斯马尔科夫噪声的特殊性质。利用观测噪声所具备的这种特殊性质,作者首先尝试了从时间域的角度分离和提取了残差序列中的多路径信号特性,成功验证了多路径信号在连续两个恒星日内会有所重复的结论。作者提出了一种使用时相关分析法检测观测序列中周期信号(如冰期反弹、固体潮、极潮等)的设想并就其可行性进行了分析研究。最后,针对观测噪声的这种特殊性质,探讨了结合使用小波分析法提取GPS沉降监测信号的可行性。 相似文献
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针对多数GPS时间序列分析中未考虑与时间有关的噪声问题,该文利用GAMIT/GLOBK软件对尼泊尔地震前2011—2015年连续观测的GPS数据进行解算,对时间序列进行噪声分析,利用频谱分析法确定噪声模型,最后在考虑噪声特征下,利用时间序列分析软件CATS估算其周期性和站点速度场。结果表明:尼泊尔境内的连续站的最佳噪声模型是"白噪声+闪烁噪声";没考虑时间序列中时间相关的噪声,水平速度场估算误差被低估7~8倍;同时该区域GPS时间序列存在波峰较为一致的周期运动,区域内的水文荷载是造成该现象的主要原因,因此在研究该地区地壳构造运动时,必须考虑水文荷载等非构造运动带来的干扰。 相似文献
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袁兴明 《测绘与空间地理信息》2020,(4):189-193,196
GNSS坐标在观测过程中受多方面因素影响,产生各种误差,存在一些波动变化,根据波动变化特征可以分析探测存在的信号。本文主要利用功率谱、小波谱和小波熵对GNSS原始、去趋势项、差分处理3种情况下时间序列进行分析,通过对比显示,小波谱和小波熵对于非平稳信号探测比功率谱分析能力强,GNSS时间序列存在一个趋势项和一个年周期信号。 相似文献
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电离层闪烁造成GPS接收机测距误差增大、以致强闪烁条件下的频繁周跳和卫星信号失锁,集成闪烁仿真功能的GPS信号模拟器能够为接收机抗闪烁算法研究和性能测试提供必要的信号源。首先设计了基于AJ-Stanford模型和Cornell模型的电离层闪烁仿真软件,可以灵活配置闪烁时间、数据更新周期以及各模型参数,从而得到闪烁影响下的GPS信号幅度衰落及相位波动序列;然后开发了集成电离层闪烁仿真功能的数字中频GPS信号模拟器,该模拟器作为抗闪烁研究平台工具,可以灵活调整闪烁卫星号、模型及相关参数、开始时间和持续时间;其设计正确性通过实验室自研的软件GPS接收机得到了验证。 相似文献
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本文分析了中国地壳运动观测网络GPS基准站及中国周边IGS连续站坐标中的周期性噪声,在北、东和垂向分量坐标时间序列中均发现了周期约351/n(n=1,…,6)天的正弦项,而地表质量负荷造成的位移序列中并没有对应的成分,不能解释异常周期项的来源。在估计台站的运动速率时,如考虑此类"异常"周期项,速率误差略微减小,而周年项振幅的估计误差显著增大,且残差离散度未见明显改善。因此,不推荐在GPS速率矢量反演中加入异常周期项参数。 相似文献
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Investigating the propagation mechanism of unmodelled systematic errors on coordinate time series estimated using least squares 总被引：6，自引：8，他引：6
The propagation of unmodelled systematic errors into coordinate time series computed using least squares is investigated,
to improve the understanding of unexplained signals and apparent noise in geodetic (especially GPS) coordinate time series.
Such coordinate time series are invariably based on a functional model linearised using only zero and first-order terms of
a (Taylor) series expansion about the approximate coordinates of the unknown point. The effect of such truncation errors is
investigated through the derivation of a generalised systematic error model for the simple case of range observations from
a single known reference point to a point which is assumed to be at rest by the least squares model but is in fact in motion.
The systematic error function for a one pseudo-satellite two-dimensional case, designed to be as simple but as analogous to
GPS positioning as possible, is quantified. It is shown that the combination of a moving reference point and unmodelled periodic
displacement at the unknown point of interest, due to ocean tide loading, for example, results in an output coordinate time
series containing many periodic terms when only zero and first-order expansion terms are used in the linearisation of the
functional model. The amplitude, phase and period of these terms is dependent on the input amplitude, the locations of the
unknown point and reference point, and the period of the reference point's motion. The dominant output signals that arise
due to truncation errors match those found in coordinate time series obtained from both simulated data and real three-dimensional
GPS data. 相似文献
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噪声分析对GPS时间序列分析有着重要影响,然而针对时间跨度较长的大尺度GPS网的共模误差相关研究较少。本文选取了平均基线长度大于2000 km的欧洲地区9个GPS台站2006-2014年的数据,使用主成分分析法剔除坐标时间序列的共模误差,同时利用极大似然估计的方法对滤波前后的时间序列进行了噪声分析。结果表明,欧洲地区广域GPS网的噪声模型存在多样性,各个分量具有不同的噪声特性,主要表现为白噪声+闪烁噪声、白噪声+幂率噪声,少部分台站N、E两个方向含有随机漫步噪声。经过空间滤波后,部分台站最优噪声模型发生改变,但仍以白噪声+闪烁噪声、白噪声+幂率噪声为主。滤波对N、E方向速度场影响为0.2 mm/a,U方向速度场影响为0.5 mm/a。 相似文献
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Evaluation of the ITRF2008 GPS vertical velocities using satellite antenna z-offsets 总被引：2，自引：0，他引：2
We develop a method to evaluate the terrestrial reference frame (TRF) scale rate error using Global Positioning System (GPS) satellite antenna phase center offset (APCO) parameters and apply it to ITRF2008. We search for the TRF in which z-APCO parameters have the smallest drift. In order to provide realistic error bars for the z-APCO drifts, we pay attention to model periodic variations and auto-correlated noise processes in the z-APCO time series. We will show that the GPS scale rate with respect to a frame is, as a first approximation, proportional to the estimated mean z-APCO trend if that frame is used to constrain station positions. Thus, an ITRF2008 scale rate error between ?0.27 and ?0.06 mm/yr depending on the GPS analysis center can be estimated, which demonstrates the high quality of the newly constructed ITRF2008. We will also demonstrate that the traditional estimates of the GPS scale rate from 7-parameter similarity transformations are consistent with our newly derived GPS scale rates with respect to ITRF2008 within two sigmas. We find using International GNSS Service (IGS) products that the traditional approach is relevant for scale rate determination even if some of the z-APCO values supplied by the IGS were not simultaneously calibrated. As the scale rate is related to the accuracy of vertical velocities, our estimates supply a conservative evaluation that can be used for error budget computation. 相似文献
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Spatiotemporal filtering for regional GPS network in China using independent component analysis 总被引：2，自引：0，他引：2
Removal of the common mode error (CME) is a routine procedure in postprocessing regional GPS network observations, which is commonly performed using principal component analysis (PCA). PCA decomposes a network time series into a group of modes, where each mode comprises a common temporal function and corresponding spatial response based on second-order statistics (variance and covariance). However, the probability distribution function of a GPS time series is non-Gaussian; therefore, the largest variances do not correspond to the meaningful axes, and the PCA-derived components may not have an obvious physical meaning. In this study, the CME was assumed statistically independent of other errors, and it was extracted using independent component analysis (ICA), which involves higher-order statistics. First, the ICA performance was tested using a simulated example and compared with PCA and stacking methods. The existence of strong local effects on some stations causes significant large spatial responses and, therefore, a strategy based on median and interquartile range statistics was proposed to identify abnormal sites. After discarding abnormal sites, two indices based on the analysis of the spatial responses of all sites in each independent component (east, north, and vertical) were used to define the CME quantitatively. Continuous GPS coordinate time series spanning \(\sim \)4.5 years obtained from 259 stations of the Tectonic and Environmental Observation Network of Mainland China (CMONOC II) were analyzed using both PCA and ICA methods and their results compared. The results suggest that PCA is susceptible to deriving an artificial spatial structure, whereas ICA separates the CME from other errors reliably. Our results demonstrate that the spatial characteristics of the CME for CMONOC II are not uniform for the east, north, and vertical components, but have an obvious north–south or east–west distribution. After discarding 84 abnormal sites and performing spatiotemporal filtering using ICA, an average reduction in scatter of 6.3% was achieved for all three components. 相似文献
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