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About

Tongyun Li is a leading researcher in radio-frequency identification (RFID) and indoor localization, whose work bridges robotics, signal processing, and wireless sensing. Li’s primary contributions center on developing high-accuracy, passive UHF RFID localization methods that operate without requiring expensive infrastructure or complex hardware. Their most influential work, “An ISAR-SAR Based Method for Indoor Localization Using Passive UHF RFID System With Mobile Robotic Platform” (2021, 17 citations), introduces a novel fusion of inverse synthetic aperture radar (ISAR) and synthetic aperture radar (SAR) techniques. By using reference tags of known positions to estimate a mobile robot’s trajectory, Li’s method enables precise localization of unknown target tags, achieving robust performance in cluttered indoor environments. A complementary paper, “A Phase and RSSI-Based Method for Indoor Localization Using Passive RFID System With Mobile Platform” (2022, 16 citations), further advances the field by combining phase and received signal strength indicator (RSSI) profiles from a moving antenna, significantly improving accuracy over single-metric approaches. Li’s work has been recognized for its practical impact on warehouse logistics, autonomous navigation, and asset tracking, with cumulative citations exceeding 40. Their innovative use of robotic platforms to enhance RFID localization continues to inspire new directions in cyber-physical systems and smart environments.