Real-Time Bridge Dynamic Deflection Monitoring Using 5G-Integrated Sensing and Communication

Abstract. This study investigates the potential of 5G-integrated sensing and communication (5G-ISC) for real-time monitoring of bridge dynamic deflection. This method is non-contact, high-precision, high-frequency, continuous, and real-time, and operates on principles similar to ground-based synthetic aperture radar (GBSAR), using differential interferometry to measure dynamic deflection. While 5G-ISC overcomes the limitations of traditional monitoring techniques, such as their inability to function in all weather conditions and their lack of continuous operation, it faces challenges due to interference from its vibrations, which can compromise measurement accuracy. To address this issue, the second-order blind identification (SOBI) algorithm was applied to filter out noise, significantly improving the precision of 5G-ISC measurements. Experimental results demonstrate that 5G-ISC and GBSAR achieve sub-millimeter accuracy in monitoring bridge deflection, meeting the required precision for bridge engineering. These findings suggest that with appropriate signal processing, 5G-ISC can be a reliable and effective method for monitoring dynamic bridge deflection.