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<p>GNSS real-time kinematic positioning (RTK) is capable of providing accurate and continuous centimeter-level positioning services. However, in challenging environments such as urban or tree-shaded areas where signal is obstructed, multipath and diffraction occur, it is difficult to implement integer ambiguity resolution within a short of time for GNSS positioning. In this study, we propose an enhanced partial ambiguity resolution (PAR) method using time differenced carrier phase (TDCP). The method initially&#xa0;applies TDCP to derive prior residuals of double-difference carrier phase. Subsequently, it sequentially eliminates the ambiguity with the largest prior residual from the subset of ambiguities to be fixed. RTK experiments are conducted&#xa0;in urban areas to evaluate the performance of the proposed method in terms of ambiguity fixing rate. The experimental results indicate that the proposed TDCP-assisted PAR method can significantly improve the ambiguity fixing rate in the challenging environments. In 93.9% of epochs, the ambiguities are successfully fixed. In contrast, those based on traditional PAR methods using elevation and signal-to-noise-ratio are only 75.8% and 75.1%, respectively.</p>

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A TDCP-assisted partial ambiguity resolution method for GNSS Real-time kinematic positioning in challenging environment

  • 期刊论文

  • 发表日期：

    2025年6月15日

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  • Xiaosan Man,
  • Wujiao Dai,
  • Wenkun Yu,
  • Yunxiang Jiang,
  • Lan Li,
  • Yong Liu

摘要

GNSS real-time kinematic positioning (RTK) is capable of providing accurate and continuous centimeter-level positioning services. However, in challenging environments such as urban or tree-shaded areas where signal is obstructed, multipath and diffraction occur, it is difficult to implement integer ambiguity resolution within a short of time for GNSS positioning. In this study, we propose an enhanced partial ambiguity resolution (PAR) method using time differenced carrier phase (TDCP). The method initially applies TDCP to derive prior residuals of double-difference carrier phase. Subsequently, it sequentially eliminates the ambiguity with the largest prior residual from the subset of ambiguities to be fixed. RTK experiments are conducted in urban areas to evaluate the performance of the proposed method in terms of ambiguity fixing rate. The experimental results indicate that the proposed TDCP-assisted PAR method can significantly improve the ambiguity fixing rate in the challenging environments. In 93.9% of epochs, the ambiguities are successfully fixed. In contrast, those based on traditional PAR methods using elevation and signal-to-noise-ratio are only 75.8% and 75.1%, respectively.