A Weighted Iterative Refinement Algorithm for Angle Estimation in 5G Millimeter-Wave Positioning

Abstract

Currently, high-precision positioning has become an urgent need in 5G vertical industries. In this paper, an improved angle estimation method based on a certain weighted iterative refinement algorithm is proposed under a single base station (BS) with 5G millimeter-wave systems. Furthermore, by utilizing the angle estimation parameters given by the above method, more accurate position estimation of user equipment (UE) can be obtained in both line-of-sight (LOS) and multipath scenarios. Simulation results show that the proposed algorithm achieves significant improvement of angle estimation, and obtains higher positioning accuracy compared to present similar methods.