共查询到20条相似文献，搜索用时 156 毫秒
1.
为提高动态单历元定位的精度和实现实时处理,提出了一种利用窗口小波去噪的高精度动态单历元算法。该算法首先利用常规单历元方法获得观测值残差,在当前历元右侧通过数据延拓来改善端部效应的影响,然后利用窗口小波对当前历元观测值残差去噪,通过交叉证认实现小波去噪分解层数的自适应选取,最后利用去噪后得到的较为干净的观测值实现最终定位。实验结果表明,与常规单历元定位相比,在不同的运动情况下,该方法的定位精度均有较大的提高,与小波后处理结果一致。 相似文献
2.
伪距多路径误差是影响GNSS导航定位精度的主要误差源之一。多路径误差与接收机周围环境有关,在实际应用中难以建立有效的多路径误差模型进行改正。对于多频GNSS接收机可以通过多频观测值组合估计伪距多路径,但该方法不适用于价格低廉的单频接收机,而导航中使用的大多数为单频接收机。因此,开展单频GNSS伪距多路径误差提取研究具有重要的工程应用价值。本文基于小波分析对单频GNSS接收机伪距多路径误差估计开展研究,首先验证了小波分析用于单频GNSS伪距多路径误差估计的可行性;其次,研究了采用不同的小波基和分解层次对多路径误差估计的影响;最后,研究了改正多路径误差对GNSS定位的影响。实验结果表明不同的小波基和分解层次对多路径误差提取效果没有明显的差别,但小波分解层次较低时定位误差分布相对更加集中,同时,经过多路径误差改正后在NEU3个方向RMS平均改善率达到20.4%、25.1%、16.4%。 相似文献
3.
Sidereal filtering based on single differences for mitigating GPS multipath effects on short baselines 总被引：5，自引：2，他引：3
Ping Zhong Xiaoli Ding Linguo Yuan Youlin Xu Kenny Kwok Yongqi Chen 《Journal of Geodesy》2010,84(2):145-158
Carrier-phase multipath effects are one of the most significant error sources in precise Global Positioning System (GPS) positioning
applications. A new sidereal filtering algorithm based on single differences is developed to mitigate multipath effects for
short-baseline high-rate GPS applications such as structural deformation monitoring. This method differs from traditional
sidereal filtering in that our method operates on the single differences rather than the coordinates or double differences.
A multipath model for the single differences on the reference day is established for each satellite and is used to remove
multipath errors from observations of subsequent days by taking advantage of the sidereal repeatability of multipath signals.
Using both simulated and real GPS observations, we demonstrate that this method is insensitive to different weighting strategies
used in computing single differences from double differences. Applying the proposed method can reduce the root mean square
(RMS) of positioning noises by 82% on average. Compared to sidereal filtering (in either coordinate or double differences
domain) and aspect repeat time adjustment, this method can further reduce the RMS values by 13 and 7%, respectively. Wavelet
spectra have shown that the proposed method is more effective in mitigating multipath errors of both long and short periods.
This method is also more advantageous in that it is applicable when different GPS satellites are observed on different days. 相似文献
4.
Wavelet packets based denoising method for measurement domain repeat-time multipath filtering in GPS static high-precision positioning 总被引：1，自引：1，他引：0
Lawrence Lau 《GPS Solutions》2017,21(2):461-474
Repeatable satellite orbits can be used for multipath mitigation in GPS-based deformation monitoring and other high-precision GPS applications that involve continuous observation with static antennas. Multipath signals at a static station repeat when the GPS constellation repeats given the same site environment. Repeat-time multipath filtering techniques need noise reduction methods to remove the white noise in carrier phase measurement residuals in order to retrieve the carrier phase multipath corrections for the next day. We propose a generic and robust three-level wavelet packets based denoising method for repeat-time-based carrier phase multipath filtering in relative positioning; the method does not need tuning to work with different data sets. The proposed denoising method is tested rigorously and compared with two other denoising methods. Three rooftop data sets collected at the University of Nottingham Ningbo China and two data sets collected at three Southern California Integrated GPS Network high-rate stations are used in the performance assessment. Test results of the wavelet packets denoising method are compared with the results of the resistor–capacitor (RC) low-pass filter and the single-level discrete wavelet transform (DWT) denoising method. Multipath mitigation efficiency in carrier phase measurement domain is shown by spectrum analysis of two selected satellites in two data sets. The positioning performance of the repeat-time-based multipath filtering techniques is assessed. The results show that the performance of the three noise reduction techniques is about 1–46 % improvement on positioning accuracy when compared with no multipath filtering. The statistical results show that the wavelet packets based denoising method is always better than the RC filter by 2–4 %, and better than the DWT method by 6–15 %. These results suggest that the proposed wavelet packets based denoising method is better than both the DWT method and the relatively simple RC low-pass filter for noise reduction in multipath filtering. However, the wavelet packets based denoising method is not significantly better than the RC filter. 相似文献
5.
通过引入北斗星上多径参数,量化了北斗星上多径对宽巷模糊度解算的影响;从理论上分析了该影响量在非差、单差和双差条件下的特性,并采用零基线、短基线和长基线3组实测数据进行了分析与验证。结果表明:星上多径对非差宽巷模糊度估值的影响在三类卫星上表现出不同的特性,在MEO卫星上最大,可达1周;星间单差无法消除星上多径偏差影响,进而PPP宽巷模糊度的解算将受到影响;星上多径不会对零基线双差宽巷模糊度解算造成影响,对短基线双差宽巷模糊度解算的影响也可忽略,但长基线双差宽巷模糊度解算则受严重影响;星上多径会导致长基线双差宽巷模糊度平滑收敛缓慢,经改正后模糊度固定成功率能够显著提高,单历元取整成功率从52.7%提升到61.4%,平滑20个历元模糊度固定成功率即可从68.4%提升到95.5%。 相似文献
6.
单基站中长基线动态相对定位受到大气残余误差影响,无法快速固定整周模糊度,定位精度和可靠性不如短基线场景。在航空测量场景下,流动站与基准站之间的基线由短到长变化,利用短基线场景下固定的整周模糊度反算得到高精度的电离层延迟量,并对其进行建模预报。随着基线变长,利用预报的电离层延迟约束中长基线定位模型,实现快速模糊度固定。本文分析了动态长基线情形下的电离层延迟的时变特性,采用滑动窗口进行电离层建模预报,讨论了该方法在航空测量实际作业中的实施条件、定位精度及模糊度固定情况。实测机载数据的解算结果表明,使用该方法,当测量载体出发阶段处于短基线场景下,单基站相对定位结果就可以达到接近100%的模糊度固定率,且定位精度保持在厘米级,显著减小了航空测量任务的作业成本。 相似文献
7.
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
8.
在全球导航卫星系统(Global Navigation Satellite System,GNSS)接收机附近的反射、衍射、干扰信号等所造成的多路径效应是影响定位的主要误差来源。信噪比(Signal-Noise Ratio,SNR)的振荡是由多路径信号叠加在直接信号上引起的,基于此原理学者们提出了很多检测和缓解多路径误差的方法。本文通过谱分析的方法对多路径时间序列进行了分析,并研究多路径与信噪比之间的相关性,对基于信噪比检测和缓解多路径误差的方法的适用性进行了说明。实验表明:多路径和信噪比振荡值的时间序列具有显著的相关性,能够利用信噪比观测值削弱多路径影响。 相似文献
9.
Multipath on carrier phase measurements is among the major error sources for short baseline positioning. A new method is proposed
to improve the accuracy of the positioning results by mitigating the multipath effects on carrier phase measurements using
the variable length Least Mean Square (VLLMS) adaptive filter. The performance of the filter is analyzed as well as compared
with that of the standard LMS adaptive filter using a set of carrier phase observation data of two consecutive days collected
in a short baseline experiment. Because the two antennas are static, the multipath error is the only dominant component in
the carrier phase double-differenced residuals and indicates a repeated pattern. The numerical results show that both filters
can significantly mitigate the multipath effects in carrier phase double-differenced residuals, and hence improve the positioning
results. Furthermore, the VLLMS filter that reduces up to about 47.4% of the multipath effects on 3D positioning performs
better than the LMS filter that only reduces 22.0%. Both filters are suitable for real-time applications. 相似文献
10.
对GPS载波相位测量误差进行了理论分析和试验研究。根据噪声特征以及它们对载波相位测量结果的影响，提出了基于自适应噪声抵消与小波滤波相结合的GPS噪声抑止方法。对具有强相关特性的多路径误差采用自适应噪声抵消方法，而对于不相关的高频噪声则通过合理选择小波分解层数对信号进行分解，对作用闽值后的小波系数进行重构，得到最后的变形信号。实测数据分析表明，该方法能有效地削弱多路径效应及测量随机噪声，较用单一方法对GPS数据进行消噪处理有较大的优越性。 相似文献
11.
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
12.
观测噪声提取是数据质量分析与随机模型构建的基础。当前手机GNSS观测噪声提取主要采用三阶差分法与历元间差分法,这些方法的提取结果都会受到卫星相关性和历元间相关性的影响。本文提出结合变分模态分解(variational mode decomposition,VMD)提取手机观测噪声的方法。模拟分解试验表明:VMD能够较好地对混合信号进行分解。提取小米8手机GNSS观测噪声并进行分析,结果表明:GPS、BDS和Galileo 3系统伪距观测噪声计算结果一致,GLONASS系统伪距噪声大约是其他系统的两倍,四系统的载波观测噪声相当,手机GNSS观测噪声与Android系统版本无关。相比于高度角随机模型,载噪比随机模型更适用于手机GNSS定位。利用数据质量提取结果拟合载噪比随机模型,并进行定位试验。定位结果表明:相对于高度角随机模型,采用载噪比随机模型后手机伪距单点定位效果能提升25%以上。手机PPP平面定位结果能收敛至0.6 m以内,高程定位精度收敛至1.2 m以内。 相似文献
13.
GNSS区域参考站网可为大范围PPP和RTK终端用户提供快速精密定位服务,然而不同技术体制下的误差影响因素及服务模式不同,服务端数据处理方法及终端定位性能也会有所差异。本文在实现参考站非差模糊度固定的基础上,给出了基于区域参考站网的PPP及RTK一体化服务方法,并对两种技术体制的终端定位效果进行了全面评估。采用西北某省站间距约100 km的CORS站网数据进行试验分析,结果表明,采用区域参考站网解算的整数钟/UPD产品进行PPP固定解动态定位时精度较高,水平方向RMS可达0.5 cm,区域大气改正数可以显著提升定位终端的初始化速度,对于PPP和RTK,60.0%和87.7%的时段单历元即可得到固定解。需要注意的是,基于VRS模式的RTK定位等价于大气强约束,在大气建模精度较差时定位精度会显著下降,而采用虚拟大气约束的PPP-RTK定位精度几乎不受影响。 相似文献
14.
A new method to mitigate multipath error in single-frequency GPS receiver with wavelet transform 总被引：2，自引：1，他引：1
One of the major errors in high-precision GPS positioning is multipath. Multipath effect modeling and reduction have been a challenging issue in high-accuracy GPS positioning applications due to its special properties. Different methods have been employed to mitigate this error including hardware and software approaches. We reduce C/A code multipath error by adopting an efficient software method which uses wavelet transform as a basic data processing trend. The key idea of the proposed method is using stationary wavelet transform (SWT) in GPS signal data processing. Since we have used SWT, there is complete access to high-frequency and low-frequency terms in both time and frequency domains, and we can apply appropriated procedures to mitigate this error. The multipath error mostly is a low-frequency term. In our proposed method, the double difference (DD) residuals are applied to the SWT to identify the multipath disturbance. The extracted multipath is then used to correct DD observations. Our experiments include three data sets to investigate the proposed method and compare it with existing algorithms. We used simulations for two of these data sets. The results indicate the efficiency of the proposed method over existing algorithms. 相似文献
15.
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
16.
17.
针对传统主成分分析(PCA)忽视测站各坐标分量之间相关性的问题,提出了一种小波去噪和多方向主成分分析(WD-MPCA)组合的方法. 该方法弥补了传统PCA的缺陷,与经验模态分解和主成分分析(EMD-PCA)组合方法及小波去噪和主成分分析(WD-PCA)组合方法相比,WD-MPCA组合方法精度最高. 经WD-MPCA组合方法去噪后,其平均中误差分别为0.83 mm、0.85 mm和8.30 mm,比原始坐标残差时间序列的平均中误差分别降低了81.14%、81.91%和40.37%. WD-MPCA组合方法充分考虑了各测站不同分量之间的相关性,可以有效去除信号中的高频随机白噪声(WN)和低频有色噪声(CN),这对高频全球卫星导航系统(GNSS)技术的实际应用和理论发展具有重要的意义. 相似文献
18.
单差FCB应用于模糊度固定解PPP中,能够提高定位精度并加快收敛速度。但由于地球遮挡,单颗卫星无法与全部卫星形成共视,因此单颗参考星下无法获得所有卫星的单差FCB。若播发多个参考星下的单差FCB作为补充,则会增加数据传输负担。为兼顾可用性与数据量,本文依据差分传递原理将不同参考星的单差FCB转换至同一参考星下,采用基于GPHASE初值的抗差估计对转换后的FCB进行合并,以获得单参考星下全星座单差FCB。选取IGS监测站网15 d的数据生成改进后的FCB产品,并进行固定解PPP验证。试验结果表明,仅播发单参考星改进后的单差FCB即可满足应用需求,改进FCB与现有的FCB产品相差小于0.04周,稳定性与可用性均优于传统的单差FCB。利用单参考星的合并FCB进行固定解PPP：静态解算的水平精度优于1 cm,垂直精度优于2 cm;动态解算时可在15 min左右实现5 cm以内的三维定位精度。 相似文献
19.
In integrated systems for accurate positioning, which consist of GNSS, INS, and other sensors, the GNSS positioning accuracy has a decisive influence on the performance of the entire system and thus is very important. However, GNSS usually exhibits poor positioning results in urban canyon environments due to pseudorange measurement errors caused by multipath creation, which leads to performance degradation of the entire positioning system. For this reason, in order to maintain the accuracy of an integrated positioning system, it is necessary to determine when the GNSS positioning is accurate and which satellites can have their pseudorange measured accurately without multipath errors. Thus, the objective of our work is to detect the multipath errors in the satellite signals and exclude these signals to improve the positioning accuracy of GNSS, especially in an urban canyon environment. One of the previous technologies for tackling this problem is RAIM, which checks the residual of the least square and identifies the suspicious satellites. However, it presumes a Gaussian measurement error that is more common in an open-sky environment than in the urban canyon environment. On the other hand, our proposed method can estimate the size of the pseudorange error directly from the information of altitude positioning error, which is available with an altitude map. This method can estimate even the size of non-Gaussian error due to multipath in the urban canyon environment. Then, the estimated pseudorange error is utilized to weight satellite signals and improve the positioning accuracy. The proposed method was tested with a low-cost GNSS receiver mounted on a test vehicle in a test drive in Nagoya, Japan, which is a typical urban canyon environment. The experimental result shows that the estimated pseudorange error is accurate enough to exclude erroneous satellites and improve the GNSS positioning accuracy. 相似文献
20.
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