Advances in Satellite Navigation Data Processing and Precise Positioning

Abstract

This presentation introduces the speaker team’s original achievements in satellite precision positioning, focusing on three areas. First, in single-station undifferenced and uncombined PPP, the team addressed the rank deficiency problem in single-station observation equations, achieving optimal fusion of multi-frequency and multi-constellation observations, proposed a single-frequency PPP model to overcome challenges in ionospheric retrieval using low-cost devices, and developed the MPPP model to account for receiver code bias variations, enhancing ionospheric extraction and time-frequency transfer accuracy. Second, in multi-station undifferenced and uncombined PPP-RTK, the team proposed a full-parameter simultaneous estimation model to eliminate dependence on precise orbit product, refined the ionosphere-weighted PPP-RTK model to unify multi-scale reference network processing strategies, and introduced a distributed PPP-RTK algorithm to significantly improve computational efficiency for wide-area reference networks. Lastly, in data processing theory, they developed a single-station stochastic modelling method to replace empirical weighting strategies, proposed the integer estimability theory to extend rigorous ambiguity fixing from CDMA to FDMA systems, and established a generalized least-squares filter to ensure optimal parameter estimation.

Speaker

Prof. Baocheng Zhang, PhD, is a Professor at the Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences. He has been recognized on Stanford University’s list of the world’s top 2% scientists for four consecutive years (2021–2024). His honours include the National Science and Technology Progress Award (Second Prize), Hubei Provincial Natural Science Award (First Prize), Hubei Provincial Science and Technology Progress Award (First Prize), the National Youth Post Expert Award, and the Hubei May Fourth Youth Medal. Prof. Zhang has been engaged in theoretical research and software development forBeiDou/GNSS data processing. He has led 14 projects, including the Excellent Young Scientists Fund of the National Natural Science Foundation of China (final evaluation: excellent) and the Hundred Talents Program of the Chinese Academy of Sciences (final evaluation: excellent). He has published over 100 academic papers in top-tier journals, with his work supporting major national initiatives such as black soil conservation and monitoring of the Hong Kong-Zhuhai-Macao Bridge.