5G毫米波定位中角度估计的加权迭代改进算法

2022 7th International Conference on Multimedia Communication Technologies (ICMCT) Pub Date : 2022-07-01 DOI:10.1109/ICMCT57031.2022.00017

Yuanxin Wang, W. Liu, Mao Li, Can Li

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引用次数: 0

摘要

目前，高精度定位已成为5G垂直行业的迫切需求。本文提出了一种基于一定加权迭代细化算法的5G毫米波单基站下角度估计改进方法。此外，利用上述方法给出的角度估计参数，可以在视距(LOS)和多径场景下获得更精确的用户设备(UE)位置估计。仿真结果表明，与现有的同类方法相比，该算法在角度估计方面取得了显著改善，定位精度更高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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2022 7th International Conference on Multimedia Communication Technologies (ICMCT)

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