Dr. Kedong Wang is a Professor in the Department of Aerospace Intelligent Science and Technology, School of Astronautics, Beihang University, China. He is a leading researcher in aerospace navigation and intelligent sensing systems, with over two decades of academic and research experience. His work focuses on integrated navigation theory, optimal estimation, and advanced terrain-aided and star–inertial navigation systems, contributing significantly to both theoretical development and practical aerospace applications.

Online Profiles

Dr. Wang maintains an active international research presence through ORCID (0000-0001-9094-4088), along with extensive indexing in major citation databases including IEEE Xplore, Scopus, and Google Scholar, reflecting sustained contributions to high-impact journals in aerospace engineering, navigation, and sensor systems.

Education

He received his Bachelor of Engineering (1996) and Master of Engineering (1999) degrees in Mechanical Engineering from Northeastern University, China, and completed his Ph.D. in Precision Instruments and Mechanology at Tsinghua University, Beijing, in 2003, establishing a strong foundation in precision sensing, estimation theory, and navigation systems.

Research Focus

Dr. Wang’s research focuses on inertial navigation systems (INS), global navigation satellite systems (GNSS), integrated GNSS/INS and INS/star sensor navigation, terrain-aided navigation, Kalman filtering with correlated noise, and optimal estimation theory for aerospace applications, with emphasis on robust and real-time navigation under challenging environments.

Experience

Since 2005, Dr. Wang has served at Beihang University as a faculty member, becoming Professor in 2024, where he teaches undergraduate and graduate courses including Sensor Technology, Measurement Systems, Fundamentals of Kalman Filtering, Optimal Estimation, and Aerospace Navigation Systems, while leading nationally funded research projects and supervising postgraduate students.

Research Timeline & Research

His early research (2003–2005) during postdoctoral training at Peking University concentrated on terrain-aided navigation, followed by expanded work on GNSS/INS integration and Kalman filtering during his visiting scholarship at the University of New South Wales (2008–2009), and subsequently advancing 3D terrain-matching algorithms, star–inertial integration, and adaptive navigation methods from 2010 to the present.

Research Impact

Dr. Wang has published over 50 peer-reviewed journal articles in leading international journals such as IEEE Transactions on Aerospace and Electronic Systems, Aerospace Science and Technology, Navigation, Pattern Recognition, and GPS Solutions, with his methods widely cited and applied in modern aerospace navigation and autonomous systems research.

Innovation & Intellectual Property

His innovations include novel terrain-matching algorithms using 3D Zernike moments, adaptive alignment techniques for low-cost INS, and advanced Kalman filtering frameworks for time-correlated noise, providing algorithmic foundations for next-generation intelligent navigation systems in aerospace platforms.

Research Projects & Funding

Dr. Wang has led and participated in numerous competitively funded projects supported by the National Natural Science Foundation of China (NSFC), the Aviation Science Foundation of China, and national aerospace research programs, focusing on integrated navigation algorithms, terrain-referenced navigation, and sensor fusion technologies.

Conference Contributions

He is an active contributor to international conferences in navigation, aerospace engineering, and intelligent systems, regularly presenting research findings, serving as a reviewer, and participating in technical committees associated with IEEE, ION, and aerospace-focused international symposia.

Academic Excellence

Dr. Wang’s academic excellence is demonstrated through his promotion to full Professor, sustained publication record in top-tier journals, long-term teaching contributions in advanced estimation and navigation theory, and recognition as a trusted expert in integrated navigation research.

Societal / Industry Contribution

His research supports national aerospace development by improving navigation reliability for aircraft, spacecraft, and autonomous platforms, while his teaching and supervision have contributed to the training of skilled engineers and researchers in China’s aerospace and intelligent systems sectors.

Global Recognition

Dr. Wang’s work is internationally recognized through collaborations with global navigation researchers, visiting scholarship at the University of New South Wales, joint publications with international co-authors, and citations across worldwide aerospace and navigation research communities.

Publications 

  1. Zhou, J., Wang, K., Wang, J. (2026). Terrain matching with effective 3D Zernike moments: Spectrum analysis and algorithm. Aerospace Science and Technology, 170, 111504.

  2. Zhou, J., Hu, Q., Wang, K., Wang, J. (2026). Spectral analysis on 3D orthogonal moments for effective terrain matching. Pattern Recognition, 171, 1–11.

  3. Wang, K., Zhou, J., Han, W., Wang, J. (2025). Terrain matching without redundant 3D Zernike moments. Journal of Navigation, 78(2–3), 210–220.

  4. Wang, K., Li, Z., Zhang, S. (2023). Retrieval of the stratospheric density by the star occultation. Aerospace, 10(3), 313.

  5. Wang, K., Gao, W., Xu, X., Wang, J. (2023). Adaptive alignment for low-cost INS in ECEF frame under large initial attitude errors. Navigation, 70(1), navi.554.

  6. Wang, K., Zhang, S., Wang, J. (2020). Feasibility of using an S-band GNSS carrier by comparing with L and C bands. Advances in Space Research, 66, 2232–2244.

  7. Wang, K., Xu, X., Gao, W., Wang, J. (2020). Linearized in-motion alignment for a low-cost INS. IEEE Transactions on Aerospace and Electronic Systems, 56(3), 1917–1925.

  8. Wang, K., Wang, H., Wang, J. (2020). Terrain matching by fusing HOG with Zernike moments. IEEE Transactions on Aerospace and Electronic Systems, 56(2), 1290–1300.

  9. Wang, K., Zhu, T., Wang, J. (2019). Impact of terrain factors on matching performance of terrain-aided navigation. Navigation, 66(2), 451–462.

  10. Wang, K., Zhu, T., Gao, Y., Wang, J. (2019). Efficient terrain matching with 3D Zernike moments. IEEE Transactions on Aerospace and Electronic Systems, 55(1), 226–235.

  11. Wang, K., Zhu, T., Wang, J. (2018). Real-time terrain matching based on 3D Zernike moments. Journal of Navigation, 71, 1441–1459.

  12. Wang, K., Zhu, T., Qin, Y., Jiang, R., Li, Y. (2018). Matching error of iterative closest contour point algorithm for terrain-aided navigation. Aerospace Science and Technology, 73, 210–222.

  13. Wang, K., Zhang, C., Li, Y. (2017). Integration of star and inertial sensors for spacecraft attitude determination. Journal of Navigation, 70, 1335–1348.

  14. Wang, K., Wu, Y., Gao, Y., Li, Y. (2017). New methods to estimate observed noise variance for ARMA models. Measurement, 99, 164–170.

  15. Wang, K., Jiang, R., Li, Y., Zhang, N. (2014). A new algorithm for fine acquisition of GPS carrier frequency. GPS Solutions, 18(4), 581–592.

  16. Wang, K., Li, Y., Rizos, C. (2012). Practical approaches to Kalman filtering with time-correlated measurement errors. IEEE Transactions on Aerospace and Electronic Systems, 48(2), 1669–1681.

  17. Wang, K., Yan, L., Gu, Q. (2005). Influence of noise on output of ring laser gyroscope. Sensors and Actuators A: Physical, 119(1), 75–83.

Prof. Kedong Wang, Teacher, Beihang University, China