UWB Localization-of-Things Via Soft Information: Network Experimentation in Indoor Environment

UWB Localization-of-Things Via Soft Information: Network Experimentation in Indoor Environment
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DOI:
10.1109/icassp49357.2023.10094631
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发表时间:
2023-06
期刊:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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通讯作者:
C. A. Gómez-Vega;M. Win;A. Conti
C. A. Gómez-Vega;M. Win;A. Conti
中科院分区:
其他
文献类型:
--
作者:
C. A. Gómez-Vega;M. Win;A. Conti

文献摘要

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位置感知对于第五代 (5G) 及其他生态系统中的众多应用至关重要。通过软信息 (SI) 的物定位 (LoT) 可以实现网络节点的准确定位、跟踪和导航。本文演示了使用超宽带 (UWB) 无线电的基于 SI 的实时物联网。我们考虑两种数据收集方法,并通过室内环境中的网络实验对其进行评估。实验结果表明,使用 UWB 技术的基于 SI 的 LoT 具有满足 5G 及其他生态系统的服务水平要求的潜力。
Location awareness is crucial for numerous applications in fifth generation (5G) and beyond ecosystems. Localization-of-things (LoT) via soft information (SI) enables accurate localization, tracking, and navigation of networked nodes. This paper demonstrates real-time SI-based LoT using ultrawideband (UWB) radios. We consider two data collection approaches and evaluate them via network experimentation in an indoor environment. Experimental results show the potential of SI-based LoT using UWB technology to satisfy service level requirements of 5G and beyond ecosystems.