Indoor location fingerprinting with heterogeneous clients

Indoor location fingerprinting with heterogeneous clients
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DOI:
10.1016/j.pmcj.2010.04.005
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发表时间:
2011-02-01
影响因子:
4.3
通讯作者:
Kjaergaard, Mikkel Baun
Kjaergaard, Mikkel Baun
中科院分区:
计算机科学3区
文献类型:
--
作者:
Kjaergaard, Mikkel Baun

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异构无线客户机以不同的方式测量信号强度。这是室内位置指纹识别的一个基本问题,对定位精度影响很大。已经提出了基于映射的解决方案,这些解决方案需要对每个新客户机进行手动且容易出错的校准。本文提出了双曲线位置指纹识别技术,它将指纹记录为基站对之间的信号强度比,而不是绝对信号强度值。本文还提出了一种基于自动映射的方法,通过学习在线测量来避免校准。评估结果表明,该方案可以解决信号强度异质性问题,而无需额外的人工校准。(C) 2010 Elsevier B.V.版权所有
Heterogeneous wireless clients measure signal strength differently. This is a fundamental problem for indoor location fingerprinting, and it has a high impact on the positioning accuracy. Mapping-based solutions have been presented that require manual and error-prone calibration for each new client. This article presents hyperbolic location fingerprinting, which records fingerprints as signal strength ratios between pairs of base stations instead of absolute signal strength values. This article also presents an automatic mapping-based method that avoids calibration by learning from online measurements. The evaluation shows that the solutions can address the signal strength heterogeneity problem without requiring extra manual calibration. (C) 2010 Elsevier B.V. All rights reserved.