室内定位系统 (IPS) 使用超宽带宽 (UWB) -用于工业物联网 (IIoT)
Fuhu Che1, Qasim Zeeshan Ahmed1, Pavlos I Lazaridis1
1Department of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
超宽带 (UWB) 为物联网 (IoT) 提供精确的室内定位系统 (IPS). 本综述探讨了UWB技术,其挑战,以及机器学习在提高UWB IPS性能方面的作用.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
背景情况:
- 物理和数字领域的融合需要先进的基于位置的服务.
- 物联网 (IoT) 应用越来越依赖于准确的室内定位系统 (IPS).
- 无线通信技术是开发有效IPS的基础.
研究的目的:
- 为室内定位系统 (IPS) 提供超宽带 (UWB) 技术的全面审查.
- 检查基于UWB的IPS实施相关的特点和挑战.
- 评估机器学习算法在UWB IPS中的应用.
主要方法:
- 对IPS普遍存在的无线通信技术的审查.
- 详细解释超宽带 (UWB) 原则和独特特征.
- 在UWB IPS中分析机器学习算法的优点和局限性.
主要成果:
- 超宽带 (UWB) 显示出高精度室内定位的巨大潜力.
- 在UWB IPS实施中的关键挑战包括成本,复杂性和标准化.
- 机器学习算法在提高UWB IPS准确性和稳定性方面表现有前途.
结论:
- UWB是下一代室内定位系统的领先技术.
- 解决实施挑战对于广泛采用UWB IPS至关重要.
- 对机器学习集成的进一步研究可以释放UWB IPS的全部潜力.
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