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Intelligent Computational Geodesy and PNT (ICG-PNT) Lab

The Hong Kong Polytechnic University

Department of Land Surveying and Geospatial Science (LSGS)

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About Us

The Intelligent Computational Geodesy and PNT (ICG-PNT) Lab develops advanced theories and algorithms for high-precision Positioning, Navigation, and Timing (PNT), rooted in a strong foundation of Global Navigation Satellite Systems (GNSS). Our research addresses the critical challenge of achieving reliable, high-accuracy positioning across diverse environments, spanning terrestrial and urban areas, satellite orbits, and deep space.

At the core of our lab is Intelligent Computational Geodesy, a methodological framework that integrates rigorous geodetic modeling with modern computational and data-driven techniques. We focus on key challenges such as integer ambiguity resolution (IAR), atmospheric error modeling, and high-dimensional parameter estimation, while incorporating artificial intelligence to enhance model adaptivity, robustness, and real-time performance.

This unified approach is applied consistently across the full spatial hierarchy, extending from ground and low-altitude platforms to LEO satellite systems, and further to lunar and deep-space navigation. Concurrently, it enables resilient and alternative PNT solutions in GNSS-challenged environments through multi-sensor fusion, integrity monitoring, and emerging quantum technologies.

Latest Publications

(2026). Kinematic orbit determination for BDS-3 satellites with inter-satellite link data. Acta Astronautica, 241, 608-619.

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(2026). Fast and precise GNSS RTK positioning with ionosphere-constrained weighted least squares quadratic programming. Journal of Geodesy, 100(2), 11.

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(2026). Ionospheric nonlinear interpolation model for Mid- and Low-latitude network RTK during solar maxima. GPS Solutions, 30(1), 7.

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(2026). Improving GNSS precise point positioning with tropospheric constraints from data-driven numerical weather prediction model. Geo-spatial Information Science, 29(1), 678-695.

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(2026). Effect of Constraining a Limited Number of Slant Ionospheric Corrections in PPP and an Improved Partial Tight-Constraining Algorithm. IEEE Transactions on Aerospace and Electronic Systems, 62, 4051-4062.

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