一种融合轨检信息的GNSS动态单历元多路径误差提取方法

A Multipath Error Mitigation Method for GNSS Kinematic Single Epoch Positioning by Fusing Track Inspection Information

  • 摘要: 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。

     

    Abstract:
      Objectives  With the rapid development of China's high-speed rail technology, the external geometric parameters rapid extraction of high-speed railway is a new research topic. GNSS kinematic positioning has broad application prospects, but its accuracy is difficult to meet the requirements of track detection. Multipath effect is one of the main factors affecting the accuracy of GNSS kinematic positioning. At present, most of the existing multipath error reduction methods are suitable for static measurement, but there is no effective method to reduce the kinematic multipath error.
      Methods  The GNSS observation data are solved by using the traditional algorithm and the geometric information of track inspection as constraints, and then compared the measurement results affected by multipath with the accurate information of track inspection. Meanwhile, wavelet multi-scale analytical method is applied to separating the multipath error from the noise in the coordinate residual sequence, and the clean coordinate series is obtained.
      Results  The accuracy of the double difference model can be improved by about 19% in the east-west direction, 20% in the south-north direction and 18% in the elevation direction based on the constrained adjustment with the track longitudinal level. Reducing and eliminating the multipath effect and noise in the coordinate domain by wavelet multi-scale decomposition algorithm, the accuracy is improved about 19%-21% in the east-west direction, 15%-18% in the south-north direction, and 9%-20% in the elevation direction. The combination of track longitudinal level constraint adjustment and wavelet filtering can improve the positioning accuracy by 35% in the east-west direction, 31% in the south-north direction and 25% in the elevation direction.
      Conclusions  The multipath error and observation noise can be effectively extracted by combining track inspection information with GNSS data, the multipath error in coordinate domain can be further weakened by wavelet correlation analysis, and the accuracy of GNSS kinematic positioning can be improved to meet the requirements of high-speed track measurement.

     

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