Assessment of code bias variations of BDS triple-frequency signals and their impacts on ambiguity resolution for long baselines

Carrier phase ambiguity resolution over long\ud baselines is challenging in BDS data processing. This is\ud partially due to the variations of the hardware biases in\ud BDS code signals and its dependence on elevation angles.\ud We present an assessment of satellite-induced code bias\ud variations in BDS triple-frequency signals and the ambiguity\ud resolutions procedures involving both geometry-free\ud and geometry-based models. First, since the elevation of a\ud GEO satellite remains unchanged, we propose to model the\ud single-differenced fractional cycle bias with widespread\ud ground stations. Second, the effects of code bias variations\ud induced by GEO, IGSO and MEO satellites on ambiguity\ud resolution of extra-wide-lane, wide-lane and narrow-lane\ud combinations are analyzed. Third, together with the IGSO\ud and MEO code bias variations models, the effects of code\ud bias variations on ambiguity resolution are examined using 30-day data collected over the baselines ranging from 500 to 2600 km in 2014. The results suggest that although the effect of code bias variations on the extra-wide-lane integer solution is almost ignorable due to its long wavelength, the wide-lane integer solutions are rather sensitive to the code bias variations. Wide-lane ambiguity resolution success rates are evidently improved when code bias variations are corrected. However, the improvement of narrow-lane ambiguity resolution is not obvious since it is based on geometry-based model and there is only an indirect impact on the narrow-lane ambiguity solutions