Abstract
The ionospheric bias and the combined observation noise are two crucial factors affecting the reliability of the triple-carrier ambiguity resolution (TCAR). In order to obtain a better reliability of TCAR, a new ionosphere-free and variance-restricted TCAR method is proposed through exploring the ambiguity link between each step of TCAR. The method constructs an ionosphere-free combination and simultaneously restricts the combined observation noise with respect to the wavelength to a sufficiently low level for each step of TCAR. The performance of the proposed method is tested by the datasets from the BeiDou navigation satellite system (BDS), with the baseline varying from 7.7 km to 68.8 km. Comparing with the state-of-the-art TCAR methods, the experimental results indicate that the proposed method can obtain a better performance of ambiguity resolution, even though the double-differenced ionospheric delay increases up to 72.4 cm at the baseline of 68.8 km.
Highlights
Integer ambiguity resolution is the key technique for high-precision relative positioning using carrier phase observation such as real-time kinematic (RTK) [1]
The purpose of this study is to improve the reliability of the triple-carrier ambiguity resolution (TCAR) method by eliminating ionospheric bias and restricting the combined observation noise simultaneously
We proposed a new ionosphere-free and combined observation variance-restricted TCAR method by utilizing ambiguity links between each step of TCAR
Summary
Integer ambiguity resolution is the key technique for high-precision relative positioning using carrier phase observation such as real-time kinematic (RTK) [1]. The triple-carrier ambiguity resolution (TCAR) method proposed by the authors of [2,3] is one of the widely-used approaches for resolving the triple-frequency ambiguity in a short baseline case so that the ionospheric error can be neglected. When the ionospheric bias cannot be neglected, especially in medium and long baseline cases, much research has been done to improve its performance [4,5,6,7]. A common conclusion is that both the ionospheric bias and combined observation noise are two crucial factors for the reliability of TCAR [4,8].
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