A Range Measurement Approach based on 5G Opportunity Signal in Urban Environment

With the development of 5G technology, 5G cellular networks have covered most cities in China. Positioning based on 5G opportunity signals has been widely focused on by researchers. In this paper, the positioning capabilities of 5G outdoor macro base stations downlink signals have been analyzed first. Then a novel phase-locked loop based on the ESPRIT algorithm is proposed to improve the accuracy of the tracking stage. Finally, to verify the ranging accuracy of the designed receiver, we conduct field tests of outdoor 5G macro base stations in a real city environment based on a software-defined radio platform. The test results indicate that in a dynamic pedestrian movement environment, the average RMSE of distance measurements obtained by continuously receiving 5G signals over two different paths is 5.37 meters.