共查询到16条相似文献，搜索用时 171 毫秒
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广域差分GPS系统(WADGPS)参考站上,需要利用载波相位平滑伪距算法来减小多路径效应的影响.伪距平滑算法有Hatch滤波和加权Hatch滤波两种.文中基于我国WADGPS参考站的实际数据,对这两种平滑算法进行重新评估.实际数据显示,如果不能获得可靠的伪距观测值的方差,在抑制伪距中噪声的影响方面,Hatch滤波明显优于加权Hatch滤波. 相似文献
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在比较不同Hatch滤波定权方法的基础上,提出了一种基于改正数、验后单位权中误差和卫星高度角适应权因子的Hatch滤波改进算法,该算法精度较高、具有一定的抗差性,能够解决基于高度角的Hatch滤波在高高度角卫星发生周跳时滤波不平滑的问题。实验结果表明,改进的Hatch滤波平滑算法的精度优于传统的Hatch滤波和基于高度角的Hatch滤波,有良好的伪距修复效果。当存在伪距偏差时,改进的Hatch滤波能够提高滑动开窗RAIM的可用性。 相似文献
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陆基增强系统(GBAS)是利用载波相位平滑伪距差分修正实现对导航辅助定位的. 其中,平滑时间常数是影响载波相位平滑伪距精度的关键参数. 本文分析研究了不同平滑时间下电离层时间梯度和空间梯度对Hatch滤波的影响. 在结合电离层时空梯度和多径效应引起的滤波总误差方差的基础上,推导出自适应的最优平滑时间常数. 分别对GBAS静态和动态两种环境下的定位误差进行实验,实验结果表明,采用本文推导出的自适应平滑时间常数降低了GBAS伪距测量误差,从而使定位精度得到增强. 相似文献
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针对现有的载波相位平滑伪距算法多基于GNSS双频观测值且在伪距平滑过程中易受电离层延迟累积干扰的问题,提出一种基于北斗三频观测值的载波相位平滑伪距算法。首先通过构建北斗三频优选线性组合,进一步削弱双差载波相位观测值的电离层延迟以及观测噪声;接着通过经典Hatch滤波平滑器,用优选三频双差载波相位观测值代替原始载波相位观测值对组合伪距观测值进行平滑,得到最终伪距平滑解用于伪距定位。最后采用0.004、14.4、61.7和131.6 km这4组不同基线长度的北斗三频实测数据对算法进行验证,给出了平滑前后伪距历元差对比图及算法对4组基线观测值的平滑率。结果表明,所提算法对短基线和中长基线三频观测值的平滑率均能达到90%以上。通过对4组基线条件下平滑效果进行比较分析,验证了本文中的理论推导及算法的有效性。 相似文献
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传统的单频载波相位平滑伪距算法因受到电离层延迟变化的影响,容易出现平滑结果发散和精度下降的问题,而现有的解决方案对精度提高有限或需要外部精密电离层改正数据的支持。本文研究了电离层的变化规律并建立回归模型,在此基础上提出了一种自模型化电离层延迟变化的单频载波相位平滑伪距算法。此算法利用伪距和载波观测量中含有的电离层延迟信息进行电离层延迟建模,从平滑伪距中扣除了历元间电离层延迟变化值,有效避免了平滑伪距的发散问题。利用自编软件GNSSer实现了电离层自模型化的载波平滑伪距算法,并采用静态与动态实测观测数据进行了定位试验和精度分析。算例结果表明:①长时段常规Hatch滤波受电离层影响非常严重;②自模型化电离层延迟可达厘米级的精度,在30 min窗口内,使用线性移动开窗拟合法效果最佳;③自模型化电离层改正可以有效消除平滑伪距电离层影响,随着时段窗口的增加,精度没有降低;④利用本文提出的算法进行逐历元单频平滑伪距单点定位,在静态与动态的NEU方向都达到了亚分米级别的定位精度,其中,动态定位测试中水平和高程方向精度为6.25和10.4 cm,比原始伪距分别提高了5.4倍和3.3倍。 相似文献
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《武汉大学学报(信息科学版)》2020,(7)
传统的单频载波相位平滑伪距算法因受到电离层延迟变化的影响,容易出现平滑结果发散的问题。提出采用移动开窗法减弱未模型化的电离层延迟影响,并建立了数学模型。通过公式推导发现:移动开窗法可以消除电离层延迟趋势项的影响。在静态定位实验中,所提出的算法在E、N、U三方向精度分别达到9.5 cm、18.0 cm和13.7 cm,比原始伪距定位结果分别提高了2.4、1.5和3.6倍。结果表明,所提出的算法可以显著减弱电离层影响,大幅提高伪距定位精度,且同时适用于静态和动态定位,其最优结果精度与加权Hatch滤波相当,但是窗口选择性更广,结果更为平滑。在各种应用场景下,推荐统一的平滑窗口为7 min。 相似文献
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本文介绍了用载波相位平滑伪距观测数据和自适应抗差Kalman滤波算法进行差分动态定位的方法，用试验数据说明了车载GPS道路测量系统所能达到的精度水平。 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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GNSS observables for ionospheric estimation are commonly based on carrier-to-code leveling (CCL) and precise point positioning (PPP) methods. The CCL method is a geometry-free method which uses carrier phase to level pseudorange observation for decreasing multipath error and observation noise. However, the ionospheric observable based on the CCL has been proven to be affected by leveling errors. The leveling errors are caused by pseudorange multipath and intraday variation of receiver DCB. To obtain more accurate ionospheric observable, the PPP method takes advantage of precise satellite-to-ground range for retrieving slant total electron content and is less affected by the leveling errors. Previous studies have only proven that the ionospheric observables extracted by the two methods are affected by the leveling errors. The influence on ionospheric observable by the pseudorange inter-receiver satellite bias (IRSB) of the receiver has not been taken into consideration. Also, the magnitude of the differences between the ionospheric observables extracted by the two methods has also not been given. In this work, three methods, namely, the CCL, the conventional ionospheric-free PPP method which uses the ionospheric-free Hatch–Melbourne–Wubbena (HMW) function, and the University of Calgary (UOFC) PPP method, are selected to analyze and compare the differences of ionospheric observables and the global ionospheric maps, using a large number of measured data from international GNSS service global stations. Experimental results show that the accuracy of ionospheric observables obtained by the three methods is not only related to the leveling error, but also pseudorange IRSB. The IRSB of the receiver exerts a major effect on the ionospheric observables obtained by the CCL method and a minor effect on the ionospheric observables obtained by the HMW and UOFC methods. The accuracies in the latter case are similar and superior to those obtained by the CCL. The differences of the ionospheric observables obtained by the CCL and UOFC methods, or the CCL and HMW methods, are at decimeter level, whereas the difference of the ionospheric observables obtained by the UOFC and HMW methods is at centimeter level. The UOFC method presented the highest single-frequency pseudorange positioning accuracy using estimated global ionospheric products, followed by the HMW and the CCL methods which presented the lowest positioning accuracy. 相似文献
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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
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GPS伪距观测量由于不存在周跳和整周模糊度的问题,可用来实现动态导航定位,但受到多路径效应影响较为严重,定位精度较低。本文以BJFS站为例,计算了伪距多路径效应,首次大量采用单历元数据,以球谐函数的形式建立了伪距多路径效应、高度角和方位角间的函数模型。建模过程中用截断奇异值分解方法解决了单历元数据引起的的病态问题,求得了模型的最小二乘解。在伪距观测数据中加入模型计算的伪距多路径效应改正,用Bernese软件的动态单点定位功能进行伪距单点定位。对BJFS站的伪距动态定位结果进行统计分析,结果表明单点定位精度得到了改善。 相似文献