From July 18 to 20, 2025, the "2025 CPGNSS Forum" themed "GNSS/PNT—New Opportunities and Challenges" was grandly convened in Nanchang, Jiangxi Province. On the afternoon of July 19, a special forum titled "The Future of High-Precision GNSS" organized under the framework of the National Science Fund for Distinguished Young Scholars project "High-Precision Satellite Navigation and Positioning" was successfully convened. Professor Jianghui Geng from the PRIDE Research Group chaired this special session.

Professor Geng first systematically reviewed the development history of high-precision GNSS technology, deeply analyzed the current technical bottlenecks and challenges, and forward-looking proposals for future research agendas. Nine distinguished experts delivered keynote presentations covering diverse frontier topics, including creditable positioning, geopotential determination, deformation monitoring, signal processing, geoscience applications, machine learning, low-Earth orbit satellite clock bias estimation, inter-satellite directional navigation, and innovative GNSS applications for 3D map. These discussions comprehensively showcased the latest developments in the field. 

Key highlights included:  

Professor Bofeng Li (Tongji University) presented Key Technology of Creditable Positioning with GNSS and Multi-Sensors, addressing theoretical frameworks, hybrid integer modeling, heterogeneous data fusion strategies, and non-model error compensation mechanisms to enhance positioning creditability.

Professor Wenbin Shen (Wuhan University) explored Development Direction of Geopotential Determination by Time-Frequency Signal, emphasizing the potential of optical fiber and optical clocks in unifying regional and global elevation benchmarks.

Professor Wujiao Dai (Central South University) introduced The Usability and Integrity Evaluation of GNSS Deformation Monitoring, proposing novel approaches to environmental complexity evaluation and outlier detection.

Professor Zheng Yao (Tsinghua University) discussed High-Precision Processing of Next-Generation GNSS Signals, highlighting advancements in broadband signal tracking and subcarrier modulated signals processing for precise point positioning.

Associate Researcher Keliang Zhang (Institute of Geology, China Earthquake Administration) shared insights from Practical Observations and Thoughts on High-Density GNSS Array for Detailed Crustal Deformation in Fault Zones, using the high-density GNSS array to analyze slow slip processes during earthquakes.

Assistant Researcher Jiang Guo (International Bureau of Weights and Measures, France) presented Machine Learning in GNSS: Improving Ambiguity Resolution for High-Precision Positioning, demonstrating AI-driven improvements in ambiguity resolution and PPP-AR convergence efficiency.

Professor Kan Wang (National Time Service Center, CAS) addressed Challenges in LEO Satellite Clock Bias Determination, emphasizing real-time orbit and clock error mitigation for enhanced low-Earth orbit augmentation.  

Assistant Professor Jing Qiao (Tongji University) unveiled Breaking the Constellation Rotation Barriers: Contributions of Inter-Satellite Directional Observations to BDS-3 Autonomous Navigation, introduced the research results and future planning of BDS-3 autonomous navigation methods based on laser links and directional constellations.

Researcher Pai Wang (Wuhan University) showcased Estimating urban building height using crowdsourcing smartphone GNSS, pioneering low-cost, high-resolution 3D urban modeling.

In closing, Professor Jianghui Geng observed that the next generation of high-precision GNSS will, on one axis, converge with signal-processing techniques, integrate with cutting-edge hardware, and intersect with environmental sensing; on the other, it will drill down into GNSS-oriented machine learning, rigorous creditability-evaluation frameworks, low-Earth-orbit augmentation, and the unique demands of the geosciences.

The symposium fostered vibrant interdisciplinary dialogue, focusing on pivotal scientific questions and technological challenges in high-precision GNSS. Notably, two graduate students from the PRIDE research group—Yahao Zhang and Bingchen Fu—won the Outstanding Paper Award under faculty mentorship, underscoring the rising innovation of young scholars in the field.