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Smartphone-Based Indoor Localization With Integrated Fingerprint Signal

机译：基于智能手机的室内定位，具有集成指纹信号

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摘要

Indoor localization of smartphones has received much attention recently and the smartphone localization is essential to a wide range of applications in office buildings, nursing homes, parking lots, and other public places. Existing solutions relying on inertial sensors or received signal strength suffer from large location errors and poor stability. We observe an opportunity in the recent trend of increasing numbers of wireless transmitters installed in indoor spaces to design a precise and robust indoor localization solution. We can extract fine-grained channel state information from wireless transmitters for indoor fingerprint localization. However, the accuracy of localization relying on a single physical quantity is limited and difficult to self-correct. This study proposes an integrated channel state information (CSI) and magnetic field strength (MFS) localization method (CSMS) that achieves sub-meter accuracy for smartphones. CSMS constructs an integrated fingerprint map of CSI and MFS and proposes the Local Dynamic Time Warping algorithm for geomagnetic tracking and the Multi-Module Data k-Nearest Neighbor algorithm for fusion fingerprint dynamic weighted comparison. By doing so, CSMS outputs enhanced accuracy with low cost, while overcoming the respective drawbacks of each individual sub-system. We conduct extensive experiments in two scenarios to validate the performance of CSMS. The results of experimental show that the mean distance error in both scenarios is less than 0.5m which is significantly superior to existing smartphone-based indoor positioning methods.
机译：智能手机的室内本地化最近受到了很多关注，智能手机本地化对于在办公楼，养老院，停车场和其他公共场所的广泛应用方面至关重要。现有解决方案依赖于惯性传感器或接收的信号强度遭受大的位置误差和稳定性差。我们在最近延长安装在室内空间中的无线变送器数量的趋势中的机会，以设计精确且坚固的室内定位解决方案。我们可以从无线发射器中提取用于室内指纹定位的微粒信道状态信息。然而，依赖于单个物理量的定位的准确性是有限的，难以自我正确。本研究提出了一种集成的通道状态信息（CSI）和磁场强度（MFS）定位方法（CSM），其实现了智能手机的子米精度。 CSMS构造CSI和MFS的集成指纹图，并提出了用于地磁跟踪的局部动态时间翘曲算法和用于融合指纹动态加权比较的多模块数据k最近邻域算法。通过这样做，CSMS输出具有低成本的增强精度，同时克服每个子系统的各个缺点。我们在两种情况下进行广泛的实验，以验证CSM的性能。实验结果表明，这两种情况的平均距离误差小于0.5米，这显着优于现有的基于智能手机的室内定位方法。

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  • 来源
    《Quality Control, Transactions》 |2020年第2020期|33178-33187|共10页
  • 作者

    Li Peihao; Yang Xu; Yin Yuqing; Gao Shouwan; Niu Qiang;

  • 作者单位

    China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221116 Jiangsu Peoples R China;

    China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221116 Jiangsu Peoples R China;

    China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221116 Jiangsu Peoples R China;

    China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221116 Jiangsu Peoples R China|China Univ Min & Technol Minstry Educ Peoples Republ China Mine Digitizat Engn Res Ctr Xuzhou 221116 Jiangsu Peoples R China;

    China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221116 Jiangsu Peoples R China|China Univ Min & Technol Minstry Educ Peoples Republ China Mine Digitizat Engn Res Ctr Xuzhou 221116 Jiangsu Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Indoor localization; smartphone; magnetic fields; channel state information;

    机译：室内本地化;智能手机;磁场;频道状态信息;

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