共查询到18条相似文献，搜索用时 689 毫秒
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《武汉大学学报(信息科学版)》2021,(6)
随着中国高铁的发展,全球导航定位系统(global navigation satellite system,GNSS)动态定位技术在列车定位及轨道检测中具有广阔的应用前景,但其精度目前难以满足轨道检测要求。多路径效应是影响GNSS动态定位精度的一个主要误差源,目前已有的多路径误差削弱方法大多适用于静态测量环境,尚无有效的方法削弱动态多路径误差。分别采用传统算法和以轨检几何信息作为约束条件的算法解算GNSS观测数据,并将受到多路径影响的测量结果与轨检信息进行对比分析,同时利用小波多尺度分解算法分离坐标残差序列中的多路径误差和噪声,得到"干净"的轨道坐标序列。实验结果表明,由于信息量增加,融合轨检信息的GNSS数据解算方法可以有效提取多路径误差和观测噪声;利用小波相关分析能进一步削弱坐标域中的多路径误差,提高GNSS动态定位的精度,满足高铁轨道测量的需求。 相似文献
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系统分析了改进随机模型和改进函数模型两类GPS基线解算模型的优缺点,在此基础上,提出了一种基于序列平均的高精度GPS基线解算模型,即采用动态单历元技术进行静态基线解算,充分利用多路径效应的低频特性,采用小波变化理论,对坐标序列进行多路径效应的去除,提取低频残差项进行序列平均,得到基线向量解。同时,以动态坐标序列为依据,对出现粗差历元或者卫星进行处理,有效弥补了仅采用残差序列进行粗差判断的不足,提高了基线解算的精度和可靠性。实验表明,新模型可以更为有效地削弱多路径效应的影响,而且对于较短的观测时间尤为突出;结合坐标序列和残差序列,能更为有效地进行粗差的探测和去除,提高基线解的精度和可靠性。 相似文献
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基于GPS多路径时间序列,分别采用Vondrak滤波、经验模式分解(EMD)和小波滤波3种方法构建了GPS多路径误差修正模型,并将其用于削弱多路径效应.通过对模拟数据及实测数据的分析表明,3种方法都能有效地分离不同噪声水平下时间序列中的信号和噪声.同时,利用3种方法构建的多路径修正模型可有效地削弱多路径效应的影响,提高GPS定位精度,但3种方法的优缺点各有不同. 相似文献
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基于奇异谱分析(singularspectrumanalysis,SSA)的基本思想,利用噪声与信号的赫斯特(Hurst)指数有显著差异这一特性,提出了一种新的SSA滤波法,同时给定了嵌入维数犔与重构阶次犘的确定标准,并将该方法应用于GPS多路径的研究中。通过模拟数据及实测GPS坐标序列的数据分析,结果表明SSA滤波法是一种有效的去噪方法,其去噪效果与小波滤波与经验模态分解(empriricalmodedecomposition,EMD)滤波相当。针对多路径效应周日重复性的特点,利用该滤波方法建立改正模型,可有效地削弱多路径效应的影响,进而提高GPS动态变形监测的精度。 相似文献
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主要从GPS的基本观测方程出发,通过数学分析的方法,在GPS观测值之间建立数学模型,进一步分别推导了伪距观测值和相位观测值中多路径效应的影响。此外,主要研究了利用相位平滑伪距削弱伪距多路径误差的方法和利用小波分析的方法对GPS多路径值序列进行分解和重构,提取出高精度的多路径误差,并通过实验数据分析了几种方法中的多路径效应影响。 相似文献
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在利用北斗卫星导航系统（BDS）进行高精度变形监测时,BDS信号产生的多路径效应是影响变形监测数据精度和可靠性的一个不可忽视的误差源. BDS有三种不同的轨道卫星,所形成的多路径误差较为复杂. 基于坐标域的多路径误差使用小波分析(Wavelet)和经验模态分解(EMD)进行原始序列降噪,对降噪后序列使用改进恒星日滤波(ASF)进行多路径误差剔除,两种方法分别对基线精度的E方向改善了38.6％和40.8％,N方向改善了59.1％和61.0％,U方向改善了57.8％和57.9％,EMD对坐标序列的平滑和基线精度改善较优. 相似文献
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本文主要从GPS的基本观测方程出发,通过数学分析的方法,在GPS观测值之间建立数学模型,进一步推导了伪距观测值和相位观测值中多路径效应的影响.此外,主要研究了利用相位平滑伪距削弱伪距多路径误差的方法,以及利用小波分析的方法对GPS多路径值序列进行分解和重构,提取出高精度的多路径误差,并通过实验数据分析了几种方法中的多路径效应. 相似文献
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Though state-of-the-art dual-frequency receivers are employed in the continuous Global Positioning System (CGPS) arrays, the
CGPS coordinate time series are typically very noisy due to the effects of atmospheric biases, multipath, receiver noise,
and so on, with multipath generally being considered the major noise contributor. An adaptive finite-duration impulse response
filter, based on a least-mean-square algorithm, has been developed to derive a relatively noise-free time series from the
CGPS results. Furthermore, this algorithm is suitable for real-time applications.
Numerical simulation studies indicate that the adaptive filters is a powerful signal decomposer, which can significantly mitigate
multipath effects. By applying the filter to both pseudorange and carrier phase multipath sequences derived from some experimental
GPS data, multipath models have been reliably derived. It is found that the best multipath mitigation strategy is forward
filtering using data on two adjacent days, which reduces the standard deviations of the pseudorange multipath time series
to about one fourth its magnitude before correction and to about half in the case of carrier phase. The filter has been successfully
applied to the pseudorange multipath sequences derived from CGPS data. The benefit of this techniques is that the affected
observable sequences can be corrected, and then these corrected observables can be used to improve the quality of the GPS
coordinate results. ? 2000 John Wiley & Sons, Inc. 相似文献
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Carrier phase multipath is currently one source of unmodeled signals that may bias GPS coordinate time series significantly.
We investigate the effect of simulated carrier phase multipath on time series of several sites covering the period 2002.0–2008.0
and spanning a range of observation geometries. High-, mid-, and low-latitude IGS sites are investigated as well as sites
with significant signal obstructions. We examine the effect of multipath in different sectors of the sky, considering time-constant,
horizontal reflectors at each of 0.1, 0.2, and 1.5 m below the antenna. The differences between a horizontally uniform multipath
source are analyzed, and it is shown that positioning errors are generally larger when unmodeled carrier phase multipath is
azimuthally heterogeneous. Using the adopted multipath model, height biases reach ±1 mm in case of the symmetric multipath
and ±5 mm for the asymmetric multipath but this increases to being ±10 mm in the worst case. In addition to mean bias, low-frequency
variations in the bias also exist, including periodic signals and leading to velocity biases of up to ±0.1 mm/year in the
symmetric case and ±1 mm/year in the asymmetric case over the considered period. In contrast to the generally slowly varying
observation geometry that is typically experienced, we show the effects of an abrupt change in geometry due to receiver/antenna
hardware changes; in the case considered, we see changed pattern of temporal variation in the bias in addition to an instantaneous
offset. 相似文献
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Adaptive wavelet transform based on cross-validation method and its application to GPS multipath mitigation 总被引：3，自引：2，他引：1
Global positioning system (GPS) multipath disturbance is a bottleneck problem that limits the accuracy of precise GPS positioning
applications. A method based on the technique of cross-validation for automatically identifying wavelet signal layers is developed
and used for separating noise from signals in data series, and applied to mitigate GPS multipath effects. Experiments with
both simulated data series and real GPS observations show that the method is a powerful signal decomposer, which can successfully
separate noise from signals as long as the noise level is lower than about half of the magnitude of the signals. A multipath
correction model is derived based on the proposed method and the sidereal day-to-day repeating property of GPS multipath signals
to remove multipath effects on GPS observations and to improve the quality of the GPS measurements. 相似文献
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一种基于交叉证认技术的自适应小波变换及其在削减GPS多路径误差中的应用 总被引：2，自引：1，他引：1
多路径效应影响是目前限制GPS定位精度进一步提高的瓶颈。提出用交叉证认技术自动识别小波分解的信号层,再通过小波重构实现降噪和信号提取,并将该方法应用于GPS多路径误差的削减中。对模拟数据和实际GPS观测资料的分析表明,该方法能合理分离不同噪声水平下资料序列中的信号和噪声;当噪声水平小于信号振幅的一半时,能成功分离资料序列中的高频信号。同时,运用该方法得到的多路径改正模型和GPS多路径效应的重复性,可有效地削弱多路径效应的影响,提高GPS定位精度。 相似文献
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在GPS精密定位中,多路径效应等无法建模的误差严重影响着定位结果的精度。这类误差不能通过传统的建模方式进行处理,也不能通过数据组合进行消除,更不能作为参数进行估计。因此本文基于经验模态分解提出一种数据驱动的噪声消除策略,将坐标时间序列分解为许多不同频率组成的时间序列,根据需要重构原始时间序列。并采用了仿真实验和实测数据验证所提出方法的有效性,结果显示所提出的方法可以有效的消除多路径效应等无法建模误差的影响。 相似文献
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Multipath mitigation via component analysis methods for GPS dynamic deformation monitoring 总被引：1，自引：0，他引：1
Multipath is one of the main error sources in high-precision global positioning system (GPS) dynamic deformation monitoring, as it is difficult to be mitigated by differencing between observations. In addition, since a specific frequency threshold value between multipath and deformation signals may not exist, multipath is usually inseparable from the low-frequency vibration signal using conventional frequency-domain filter methods. However, the multipath repeats in two sidereal days when the surroundings of a GPS antenna remain unchanged. This characteristic can be exploited to model and thus mitigate multipath effectively in dynamic deformation monitoring. Unfortunately, a major issue is that the degree of repeatability decreases as the interval between first day and subsequent days increases. To overcome this problem, we develop a new sidereal filtering referred to as reference EMD-ICA (EMD-ICA-R), where empirical mode decomposition (EMD) and independent component analysis (ICA) are jointly used to model multipath and renew the reference multipath. For the successful implementation of the EMD-ICA-R, an a priori denoised multipath signal is needed as a reference. We further propose to use the principal component analysis (PCA) method to extract more accurate reference multipath signal and form a combined PCA-EMD-ICA-R approach. Simulation experiments with a motion simulation platform were conducted, and the testing results indicate that the proposed methods can mitigate the multipath by around 67 % when a reliable reference multipath signal is extracted from a static situation. Furthermore, simulation experiments with different deformation signals added into the coordinate time series of three consecutive days show that the two proposed methods are also effective in a dynamic situation. Since wavelet filtering is used to denoise the reference multipath signals in the new approaches, simulation experiments with several wavelet filters are tested, and the results indicate that the PCA-EMD-ICA-R approach can work well with various wavelet filters. 相似文献