Date: August 2, 2025

Editor: Chang Kaili

Recently, the Technical Center of the Air Traffic Management Bureau under the Civil Aviation Administration of China and the Shenzhen Radio Monitoring Station sent letters of appreciation to Jinan University. They highly commended the exceptional contributions made by Associate Professor Li Xiaofan’s Intelligent Perception Team, part of the School of Intelligent Systems Science and Engineering / JNU-Industry School of Artificial Intelligence, in the specialized analysis and testing of interference mechanisms in the Traffic Alert and Collision Avoidance System (TCAS) for civil aviation.

From April to July 2025, the Technical Center of the Air Traffic Management Bureau conducted a specialized project on TCAS interference mechanism analysis and testing at the Shenzhen Guanlan Navigation Station and the Air Traffic Control Equipment Support and Testing Base Laboratory. The project addressed critical air traffic management safety issues under tight schedules and challenging interference source identification. Jinan University dispatched Associate Professor Li Xiaofan’s team to assist in overcoming these difficulties. Utilizing a self-developed aviation radio service interference test and verification system, the team accurately replicated typical co-frequency interference scenarios and, through joint debugging with the center’s onboard TCAS equipment, successfully identified the core mechanisms behind alarm malfunctions.

(Image: Li Xiaofan leading graduate students in on-site testing at Shenzhen Guanlan Navigation Station)

From April 27 to 30, 2025, to investigate the causes of abnormal TCAS alerts in the Pearl River Delta region, the Shenzhen Radio Monitoring Station collaborated with the Central-South Regional Air Traffic Management Bureau of China Civil Aviation, Shenzhen Air Traffic Control Station, Jiuzhou Air Traffic Control Company, and other organizations to conduct on-site interference analysis and monitoring at Guanlan Navigation Station. Throughout the joint testing, the Jinan University team participated fully in technical efforts, utilizing professional broadband signal simulation equipment. By accurately recreating typical co-frequency interference conditions, they successfully verified the root causes of the alarm malfunctions.

During these projects, Associate Professor Li Xiaofan guided master’s students, including Huang Xu and Liang Jianheng, in conducting in-depth research on TCAS interference causes and simulation of interfering signals. The Aviation Radio Service Interference Test and Verification System, developed by the team, played a crucial role in the specialized tasks.

(Image: Li Xiaofan and graduate students at the 2025 Radio Technology and Application Development Forum exhibition)

The team was also invited to the 2025 Radio Technology and Application Development Forum held in Beijing on July 9. At the forum, they presented and showcased their cutting-edge research achievements in the field of aviation radio to leaders and experts from the China Radio Association and the National Radio Monitoring Center Test Center, attracting broad attention from the industry.

Receiving two letters of appreciation not only signifies high recognition of the research team’s expertise but also exemplifies the school’s active commitment to addressing national strategic technological needs. The Intelligent Perception Team stated that they will leverage this R&D experience to further enhance their technical capabilities and contribute Jinan Wisdom to the development of key national strategic domains.

The Intelligent Perception Team at the School of Intelligent Systems Science and Engineering, led by Professor Yang Guanghua, has long been dedicated to intelligent perception, intelligent communications, and intelligent computing. As a core member, Associate Professor Li Xiaofan has engaged extensively in pioneering research on intelligent radio signal detection, multimodal intelligent perception fusion, and wireless AI.