2026/11/13(Fri.) 14:20 莊智清 特聘教授 國立成功大學 電機工程學系 - GNSS Interference: Observation from Space
Date & Time:
2026 / 11 / 13 (Fri) 14:20 - 16:20
Location:
Delta Building R216, NTHU
Speaker:
莊智清 特聘教授
國立成功大學 電機工程學系
Topic:
GNSS Interference: Observation from Space
Abstract:
Recent escalations in Global Navigation Satellite System (GNSS) interference and spoofing pose critical risks to maritime and aerial transit. This study leverages spaceborne observations from the TRITON satellite’s GNSS-R payload—which includes dedicated navigation and science units—to characterize radio-frequency interference and its operational impacts. We analyze key phenomena such as navigation disruption, spoofing behavior, and signal performance degradation. Furthermore, we develop navigation models to quantify spoofing-induced position errors and propose a spoofer localization algorithm verified through flight data. By mapping the occurrence, severity, and mechanics of orbital GNSS interference, this work advances situational awareness and supports the design of interference-resilient navigation systems.
Short Bio:
Jyh-Ching Juang is a Distinguished Professor at the Department of Electrical Engineering, National Cheng Kung University, Taiwan. He received the B. S. and M. S. degrees from National Chiao-Tung University, Hsin-Chu, Taiwan, in 1980 and 1982, respectively, and the Ph. D. degree in electrical engineering from University of Southern California, Los Angeles, in 1987. He was with Lockheed Aeronautical System Company, Burbank before he joined the faculty of the Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan in 1993. Dr. Juang has involved in the development of GNSS-based localization techniques encompassing subjects including chip design, software design, signal processing, and integrated navigation. He has collaborated with TASA to develop the GNSS reflectometry (GNSS-R) payload of the TRITON. Dr. Juang is also involved with autonomous driving research on subjects of deep learning and sensor fusion for perception, vehicle localization with adaptive environmental features, open-source software development for multi-core platforms, and exploration of HD maps in autonomous driving for enhanced performance and safety. He also served as the Director of the CubeSat Research and Development Center at NCKU. In the past ten years, the Center has launched and operated ten CubeSats successfully.

