Abstract

With the development of the Internet of Things, a large number of connection requirements for sensing and control are generated. However, in wireless positioning, Narrowband Internet of Things (NB-IoT) has poor positioning accuracy which takes the cell-ID positioning method. The further integration of 5G and NB-IoT networks is expected to effectively improve the positioning accuracy of NB-IoT networks. Therefore, the high-precision positioning algorithm for researching converged networks has broad application prospects and academic significance. In order to improve the positioning accuracy of NB-IoT, based on the 5G and NB-IoT heterogeneous positioning framework, we propose to introduce a number of cluster nodes, which have the function of communicating with 5G and NB-IoT networks simultaneously. The signal bandwidth in NB-IoT network is narrow and clock synchronization is difficult to accomplish, so only DOA (Direction of Arrival) and RSSI principles can be considered. In this paper, we firstly use 5G to perform high-precision positioning of cluster nodes according to the principles of TDOA (Time Difference of Arrival). Based on the solution space (x \( \pm \) ex, y \( \pm \) ey), the NB-IoT terminal is located by the cluster nodes according to the DOA and RSSI fusion method. This method helps reduce the matching time and improve the accuracy of single DOA/RSSI positioning method. Meanwhile, in the case of allowing cluster node errors, higher precision NB-IoT network positioning results can be obtained. Compared to a single NB-IoT network positioning, the final positioning accuracy of NB-IoT terminal can be improved by 80–90%.

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