Towards rapid and reliable GNSS ambiguity resolution using residual-based machine learning in challenging environments
High-precision Global Navigation Satellite System (GNSS) positioning relies on the successful resolution of carrier-phase ambiguities. However, in challenging environments characterized by severe Non-Line-of-Sight (NLOS) reception and multipath effects, such as urban canyons with dense vegetation and high-rise building...