4.5 Article

Models, methods and assessment of four-frequency carrier ambiguity resolution for BeiDou-3 observations

Journal

GPS SOLUTIONS
Volume 24, Issue 4, Pages -

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s10291-020-01011-z

Keywords

BeiDou-3; Ambiguity resolution; Four frequencies; Linear combination

Categories

Funding

  1. State Key Laboratory of Rail Transit Engineering Informatization (FSDI) Grant [SKLK20-07]
  2. China Postdoctoral Science Foundation [2020M671324]
  3. Fundamental Research Funds for the Central Universities [2019B03714]
  4. Jiangsu Planned Projects for Postdoctoral Research Funds [2020Z412]
  5. State Key Laboratory of Geodesy and Earth's Dynamics Grant [SKLGED2020-3-8-E]
  6. National Natural Science Foundation of China [41830110, 41874030]

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One of the most significant advantages of multiple frequencies is that it can improve the success rate of ambiguity resolution, such as the three-frequency carrier ambiguity resolution (TCAR) method. So far, the global BeiDou-3 navigation satellite system already provides four frequencies. Hence, we systematically study the models and methods of four-frequency carrier ambiguity resolution (FCAR) by using real BeiDou-3 data. First, the models of four-frequency linear combinations are given, and the optimal linear combinations are found out based on certain optimal criteria. Second, two typical methods, including geometry-free and geometry-based methods, are studied. In the end, the real BeiDou-3 data are used to evaluate the performance of the FCAR method, where two strategies, i.e., single-epoch and multi-epoch solutions, are both applied. The results indicate that the FCAR method can offer more high-quality virtual signals in quantity and quality than the TCAR method. By using the real BeiDou-3 data with different lengths ranging from 4.9 m to 61.6 km, three high-quality and independent signals can fix the ambiguities instantaneously with an approximately 100% success rate. Then the fourth independent signal can be fixed with high efficiency and success rate. Therefore, the FCAR method is promising in large-scale real-time precise positioning, where the successful ambiguity resolution may take tens of minutes to hours.

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