Sequential Ambiguity Resolution Method for Poorly-Observed GNSS Data

Integer ambiguity resolution is required to obtain precise coordinates for the global navigation satellite system (GNSS). Poorly observed data cause unfixed integer and reduce coordinate accuracy. Previous studies mostly used denoise filters partial algorithms address this problem. This study proposes a sequential method that includes float solution substitution process double-difference (DD) iterative correction equation process. The updates initial solution, while DD eliminate residual biases. satellite-selection experiment shows adequate more accurate solution. iteration-correction feasible with an improvement in success rate from 28.4% 96.2%. superiority significant 36.1% 83.6% better baseline difference about 0.1 m 0.04 m. It proved proposed can significantly optimize results poorly-observed GNSS data.