TUJI1数据集:用于高测量密度的室内定位的多设备数据集
Lucie Klus1,2, Roman Klus1, Elena Simona Lohan1
1Electrical Engineering Unit, Tampere University, 33720 Tampere, Finland.
Data in brief
|April 11, 2024
概括
本研究介绍了TUJI1,一个新的Wi-Fi指纹数据集,用于解决设备差异和室内定位的数据稀疏性. 它可以在全球导航卫星系统拒绝的环境中进行可复制的研究.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 信号处理 信号处理
背景情况:
- 室内定位在没有全球导航卫星系统 (GNSS) 的环境中至关重要.
- 现有的无线指纹数据集面临着设备异质性和样本密度的挑战.
研究的目的:
- 为了介绍TUJI1,一个新的,匿名的IEEE 802.11无线LAN (Wi-Fi) 指纹数据集.
- 解决设备异质性和样本密度在室内定位研究中的局限性.
主要方法:
- 收集收到的信号强度指标 (RSSI) 测量从5个商业设备在一个细粒度的网格.
- 匿名化了数据集,并将Wi-Fi指纹与精确坐标相匹配.
- 将数据集划分为训练和测试子集,以确保可重复性.
主要成果:
- TUJI1提供来自各种商业设备的匹配Wi-Fi指纹和坐标.
- 数据集的结构是为了公平和可重复的室内定位研究.
- 解决了Wi-Fi指纹检测中设备异质性的关键问题.
结论:
- TUJI1数据集促进了室内定位技术的进步.
- 通过减轻设备变异性,使得强大的和可重复的研究成为可能.
- 支持在GNSS遮蔽区域开发精确定位解决方案.
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