Volume 45 Issue 7
Jul.  2020
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CHEN Zhengsheng, ZHANG Qinghua, CUI Yang, LI Xuerui, KANG Yingcai. Single Frequency Carrier Smoothing Pseudorange Algorithm and Accuracy Analysis Based on Moving Window[J]. Geomatics and Information Science of Wuhan University, 2020, 45(7): 964-973. DOI: 10.13203/j.whugis20180324
Citation: CHEN Zhengsheng, ZHANG Qinghua, CUI Yang, LI Xuerui, KANG Yingcai. Single Frequency Carrier Smoothing Pseudorange Algorithm and Accuracy Analysis Based on Moving Window[J]. Geomatics and Information Science of Wuhan University, 2020, 45(7): 964-973. DOI: 10.13203/j.whugis20180324
shu

Single Frequency Carrier Smoothing Pseudorange Algorithm and Accuracy Analysis Based on Moving Window

  • 1.

    Rocket Force University of Engineering, Xi'an 710025, China

  • 2.

    State Key Laboratory of Geo‐information Engineering, Xi'an 710054, China

  • 3.

    Army Engineering University, Nanjing 210007, China

  • 4.

    Army Service Academy, Chongqing 401311, China

  • 5.

    Information Engineering University, Zhengzhou 450052, China

Funds: 

The National Natural Science Foundation of China 41604024

The National Natural Science Foundation of China 41674019

The National Natural Science Foundation of China 41804006

State Key Laboratory of Geoinformation Engineering SKLGIE2016-M-2-3

Shanxi Natural Science Foundation 2018JQ4023

More Information
  • Author Bio:

    CHEN Zhengsheng, PhD, specializes in the theories and methods of GNSS data processing and currently hosted research and development of GNSSer software. E-mail:czsgeo@126.com

  • Corresponding author:

    ZHANG Qinghua, PhD. E-mail: sqmha@126.com

  • Received Date: March 15, 2019
  • Published Date: July 29, 2020
    Graphical Abstract
    • Abstract
  • The traditional single‐frequency carrier phase smoothing pseudorange algorithm is prone to divergence of smoothing results due to the influence of ionospheric delay variation. In this paper, a moving window method is proposed to reduce the influence of unmodeled ionospheric delay, and a mathematical model is established. Formula deduction shows that moving window method can eliminate the influence of ionospheric delay trend term. In the static positioning experiment, the accuracy of this algorithm in three directions of north, east and up is 9.5 cm, 18.0 cm and 13.7 cm, which is 2.4, 1.5 and 3.6 times higher than the original pseudorange positioning results. The results show that the proposed algorithm can significantly reduce the ionospheric influence and greatly improve the positioning accuracy. It is also suitable for both static and dynamic positioning. Its optimal result accuracy is comparable to that of weighted Hatch filtering, but the window selectivity is wider and the result is smoother. On various application scenarios, the uniform smoothing window is recommended for 7 minutes.
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    • References (13)
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