Prof. Kedong Wang | Academic Recognition | Research Excellence Award
Beihang University | China
Dr. Kedong Wang is a Professor in the Department of Aerospace Intelligent Science and Technology at Beihang University, specializing in advanced navigation theory and aerospace sensing technologies. His research centers on integrated navigation systems, particularly the fusion of Inertial Navigation Systems (INS) with Global Navigation Satellite Systems (GNSS), star sensors, and terrain information to achieve high-precision, robust navigation in complex and challenging environments. A major contribution of his work lies in terrain-aided navigation, where he has developed efficient terrain matching algorithms based on three-dimensional Zernike moments and other orthogonal descriptors, significantly improving matching accuracy, computational efficiency, and real-time performance. Dr. Wang has also made important advances in optimal estimation theory, Kalman filtering under time-correlated and colored measurement noise, and adaptive alignment techniques for low-cost INS with large initial attitude errors. His research integrates theoretical modeling, algorithm design, and practical validation for aerospace and spacecraft navigation applications. With more than 50 peer-reviewed publications in leading journals such as IEEE Transactions on Aerospace and Electronic Systems, Navigation, and Aerospace Science and Technology, his work has contributed substantially to the reliability and intelligence of modern navigation systems used in aviation and space missions.
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Featured Publications
Terrain Matching Without Redundant 3D Zernike Moments
– Journal of Navigation, 2025 (Open Access)
Retrieval of the Stratospheric Density by the Star Occultation
– Aerospace, 2023 (Open Access)
Adaptive Alignment for Low-Cost INS in ECEF Frame Under Large Initial Attitude Errors
– Navigation: Journal of the Institute of Navigation, 2023
Feasibility of Using an S-Band GNSS Carrier by Comparing with L and C Bands
– Advances in Space Research, 2020, 66: 2232–2244
Linearized In-Motion Alignment for a Low-Cost INS
– IEEE Transactions on Aerospace and Electronic Systems, 2020, 56(3): 1917–1925