A Profile-Matching Method for Wireless Positioning
A Profile-Matching Method for Wireless Positioning
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DOI：
10.1109/lcomm.2016.2608351
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发表时间：
2016-12-01
期刊：
影响因子：
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通讯作者：
El-Sheimy, Naser
中科院分区：
文献类型：
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作者：
Li, You;Zhuang, Yuan;El-Sheimy, Naser
这封信提出了一种基于个人资料的无线指纹识别方法，该方法通过引入来自航位推算的短期历史轨迹来缓解定位模糊性。该方法将指纹从一维扩展到多维，从而丰富了指纹的多样性。同时，引入多维动态时间规整方法对轮廓长度不准确的多维指纹进行匹配。与传统的单点匹配方法相比，轮廓匹配方法提供了一种更可靠的解决方案，特别是在接入点稀疏且初始位置更准确的环境中。用两部智能手机在两栋建筑和四种运动条件下进行的室内行走测试表明，所提出的轮廓匹配方法降低了11.5%~21.6%的位置误差。
This letter presents a profile-based wireless fingerprinting method, which mitigates positioning ambiguity by introducing short-term historical trajectories from dead-reckoning. This approach extends the fingerprint from one dimension to multiple, and thus enriches its diversity. Meanwhile, the multi-dimensional dynamic time warping method is introduced for matching multi-dimensional fingerprints with inaccurate profile lengths. Compared with the traditional single-point matching method, the profile-matching method provides a more reliable solution especially in environments with sparse distributed access points and a more accurate initial position. Indoor walking tests with two smartphones, in two buildings, and under four motion conditions illustrated that the proposed profile-matching method reduced the position errors by 11.5-21.6 %.