DL-AoD基于估计的5G定位使用方向传输的同步信号
Ivo Müürsepp1, Muhammad Mahtab Alam1
1Thomas Johann Seebeck Department of Electronics, School of Information Technologies, Tallinn University of Technology, 19086 Tallinn, Estonia.
Sensors (Basel, Switzerland)
|October 29, 2025
概括
本研究使用真实世界工业网络数据估计了5G用户设备 (UE) 的下链起点角度 (DL-AoD). 该方法在没有额外的基础设施的情况下实现了准确的室内定位,这证明了工业物联网的实用性.
科学领域:
- 无线通信是一种无线通信.
- 定位和定位位置的定位和定位.
- 信号处理 信号处理
背景情况:
- 准确的室内定位对于工业物联网和自动化至关重要.
- 现有的方法通常依赖于模拟或专用硬件,限制了现实世界的适用性.
- 从5G信号中估计下行链路出发角 (DL-AoD) 为精确定位提供了一个有前途的途径.
研究的目的:
- 引入和验证一种用于从5G用户设备 (UE) 中估计DL-AoD的新方法.
- 评估使用这些DL-AoD估计用于工业环境中准确的室内UE定位的可行性.
- 为了证明机器学习在克服环境挑战方面的有效性,用于DL-AoD估计.
主要方法:
- 从5G节点传输的同步信号中利用信号强度测量.
- 开发了DL-AoD的确定性估计器,并通过机器学习进行了增强,以适应多路径等环境因素.
- 在工业工厂运营的5G网络中使用现实世界的测量验证了该方法.
主要成果:
- 取得了低于4°的90百分点DL-AoD估计误差,超过了之前的实验结果.
- 获得了13.2米的定位误差,属于现有文献报告的实际范围.
- 使用标准的6 GHz以下5G信号,无需详细的天线或通道信息,证明了高角度精度.
结论:
- 拟议的DL-AoD估计方法为工业环境中的室内定位提供了实用和准确的解决方案.
- 利用标准的5G信号消除了对额外基础设施的需求,为具有成本效益的定位解决方案铺平了道路.
- 这些发现支持基于5G的本地化集成用于增强的工业物联网和自动化应用.
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