GNSS World of China

Volume 45 Issue 5
Oct.  2020
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WU Tangting, LIU Lijing, ZHAO Baogui, LU Liguo. GNSS ambiguity integer estimation methods graph visualization software design and application analysis[J]. GNSS World of China, 2020, 45(5): 20-26. doi: 10.13442/j.gnss.1008-9268.2020.05.004
Citation: WU Tangting, LIU Lijing, ZHAO Baogui, LU Liguo. GNSS ambiguity integer estimation methods graph visualization software design and application analysis[J]. GNSS World of China, 2020, 45(5): 20-26. doi: 10.13442/j.gnss.1008-9268.2020.05.004

GNSS ambiguity integer estimation methods graph visualization software design and application analysis

doi: 10.13442/j.gnss.1008-9268.2020.05.004
  • Publish Date: 2021-02-24
  • The key of high-precision GNSS positioning is fast and accurate ambiguity estimation.There are three kinds of integer estimation methods which are commonly used for ambiguity estimation,including Integer Rounding, Integer Bootstrapping and Integer Least-Squares.Although it is easy to realize the three kinds of estimation methods, there is little research on how to construct the geometry of integer estimate values based on the ambiguity float solution and precision,which is not conducive for us to intuitively understand the process of integer estimation.Therefore, this paper theoretically gives the general forms of the three kinds of estimation methods, and then designs a set of visualization analysis software for the construction of two-dimensional geometric figures based on MATLAB GUI. The functions of the software include pull-in region construction, map graph construction, Monte Carlo simulation and success rate calculation. The experimental results show that the software designed in this paper can intuitively express the processes of the three kinds of integer estimation and its resolution performance in terms of geometry.

     

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