A PRECISE RANGING WITH SUBCARRIER DIVERSITY FOR 5G NR INDOOR POSITIONING
Keywords: 5G, Location-based service, Indoor positioning, Ranging, Path loss model
Abstract. Indoor positioning is an important component of location-based service. Moreover, it has extensive applications in areas such as the Internet of Things (IoT) and Artificial Intelligence (AI). As a new generation of the mobile communication signal, the introduction of technologies such as multi-carrier, massive multiple-input multiple-output (MIMO), and ultra-dense network (UDN) has enabled 5G NR signal to demonstrate unique technical advantages in the field of indoor positioning. In this paper, for indoor positioning, a subcarrier diversity precision ranging method based on a commercial 5G NR signal is proposed. According to the results of field experiments in the indoor environment, the proposed method significantly improves the ranging precision compared to the Reference Signal Receiving Power (RSRP)-based ranging method. When the diversity ratio is set to 0.25, the 95% cumulative distribution function (CDF) of the overall ranging error is less than 3 meters.