RUAN Rengui, WU Xianbing, FENG Laiping, . Comparison of Observation Models and Ionospheric Elimination Approaches for Single Frequency Precise Point Positioning[J]. Geomatics and Information Science of Wuhan University, 2013, 38(11): 1276-1280.
Citation: RUAN Rengui, WU Xianbing, FENG Laiping, . Comparison of Observation Models and Ionospheric Elimination Approaches for Single Frequency Precise Point Positioning[J]. Geomatics and Information Science of Wuhan University, 2013, 38(11): 1276-1280.

Comparison of Observation Models and Ionospheric Elimination Approaches for Single Frequency Precise Point Positioning

Funds: 国家自然科学基金资助项目(141074020);中国卫星导航学术年会资助项目(CSNC 2011-QY-20)
More Information
  • Received Date: June 29, 2013
  • Revised Date: June 29, 2013
  • Published Date: November 04, 2013
  • Based on code,carrier phase and their combination so called GRAPHIC observation,three types of observation model for Single-Frequency Precise Point Positioning(SF-PPP) were presented,named as :"C-G model" making use of Code and GRAPHIC observation,"G-P model" making use of GRAPHIC and Phase observation and "C-P model" making use of Code and Phase observation.We considered two approaches to eliminate ionospheric effect : first,to remove the ionospheric delay with ionospheric map data from the International GNSS Service(IGS) which is the most accurate ionospheric model;second,to estimate the ionospheric path delay parameter together with receiver position,clock offset and so on.SFPPP experiments were carried out with static GPS data collected at 15 stations of IGS through day 75 to 90 in 2011 and airborne GPS data collected on September 5th 2008.It’s shown that different models and ionospheric elimination approaches lead to different positioning accuracy.Among all the three models and two approaches,G-P model and C-P model with estimation of ionospheric path delay,produce the best result for both static and kinematic positioning.Just saying the first ionospheric elimination approach,C-G model enjoy the best result.Our work indicates that,by adopt suitable observation and ionospheric elimination approach,an accuracy of a few centimeters for static positioning and several delimiters for kinematic positioning is achievable with SFPPP.
  • [1]
    周乐韬,黄丁发,徐锐等.一种网络RTK新术——增强参考站[J].武汉大学学报?信息科学版,2008,33(1):76-80[2]高星伟.GPS/ GLONASS网络RTK算法研究与程序实现[D]. 武汉:武汉大学,2002
  • Related Articles

    [1]HU Ju, YANG Liao, SHEN Jinxiang, WU Xiaobo. Filtering of LiDAR Based on Segmentation[J]. Geomatics and Information Science of Wuhan University, 2012, 37(3): 318-321.
    [2]DENG Shaoping, LI Pingxiang, ZHANG Jixian, HUANG Guoman. Filtering of Polarimetric SAR Imagery Based on Multiplicative Model[J]. Geomatics and Information Science of Wuhan University, 2011, 36(10): 1168-1171.
    [3]SUI Lichun, ZHANG Yibin, ZHANG Shuo, CHEN Wei. Filtering of Airborne LiDAR Point Cloud Data Based on Progressive TIN[J]. Geomatics and Information Science of Wuhan University, 2011, 36(10): 1159-1163.
    [4]SHEN Jing, LIU Jiping, LIN Xiangguo. Airborne LiDAR Data Filtering by Morphological Reconstruction Method[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2): 167-170.
    [5]WANG Minghua, ZHANG Xiaohong, ZENG Tao, CHENG Xiaoqian. Preprocessing Algorithms for Filtering Airborne LiDAR Data[J]. Geomatics and Information Science of Wuhan University, 2010, 35(2): 224-227.
    [6]LIU Jingnan, XU Xiaodong, ZHANG Xiaohong, CHENG Shilai. Adaptive Hierarchical and Weighted Iterative Filtering of Airborne LIDAR Data and Its Quality Assessment[J]. Geomatics and Information Science of Wuhan University, 2008, 33(6): 551-555.
    [7]JIANG Jingjue, ZHANG Zuxun, MING Ying. Filtering of Lidar Point Clouds for Complex Cityscapes[J]. Geomatics and Information Science of Wuhan University, 2007, 32(5): 402-405.
    [8]YANG Yuanxi, GAO Weiguang. Comparison of Two Fading Filters and Adaptively Robust Filter[J]. Geomatics and Information Science of Wuhan University, 2006, 31(11): 980-982.
    [9]YANG Yuanxi. Kinematic and Static Filtering for Multi-Sensor Navigation Systems[J]. Geomatics and Information Science of Wuhan University, 2003, 28(4): 386-388,396.
    [10]Feng Yanming. Filtering Method of Monitoring Levelling Networks[J]. Geomatics and Information Science of Wuhan University, 1987, 12(1): 14-25.

Catalog

    Article views PDF downloads Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return