| Summary: | The advent of 5G technology has revolutionized the telecommunications sector, offering
unprecedented levels of speed, capacity, and reliability. A pivotal feature of 5G networks is their
capability to provide precise location data, unlocking a myriad of location-based services and
applications. This integration has ushered in new possibilities for sectors such as emergency
services, transportation, advertising, and augmented reality. The escalating demand for location-
based services necessitates precise and reliable positioning methods. Challenges posed by signal
blockage and multipath effects in urban environments restrict the effectiveness of traditional
positioning techniques like GPS. Moreover, indoor positioning proves to be a formidable task due
to the attenuation of GPS signals indoors.5G networks employ various location approaches to
surmount these challenges, with one such method being the fusion of 5G with Global Navigation
Satellite Systems (GNSS). GNSS, including GPS, GLONASS, and Galileo, furnishes accurate
outdoor positioning data, and the integration of GNSS signals with 5G enhances location accuracy.
Road Side Unit (RSU) and kinematic vehicle can receive 5G signals from the four or more
gNodeB station to start single difference, which can remove the clock offset of RSU and the
vehicle. Then the single difference of vehihcle minus the single difference of RSU can obtain the
double difference, which remove all the clock offsets. Finally, we use least square method to obtain
the actual location of the kinematic vehicle.
I evaluate and analyze the accuracy of the 5G localization. This is a field experiment so all
the data are collected by physical devices. In this experiment, we use double difference and least
square method to implement localization. The experimental result shows that the 2D localization
error is meter level. So, 5G differential pseudo-range localization can achieve meter-level.
|
|---|