A hybrid smartphone indoor positioning solution for mobile LBS.
A hybrid smartphone indoor positioning solution for mobile LBS.
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DOI：
10.3390/s121217208
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发表时间：
2012-12-12
期刊：
影响因子：
--
通讯作者：
Kuusniemi H
中科院分区：
文献类型：
--
作者：
Liu J;Chen R;Pei L;Guinness R;Kuusniemi H
智能手机定位是一项使能技术，用于在导航和基于移动位置的服务(LBS)行业创造新业务。本文介绍了一种智能手机室内定位引擎HIPE，该引擎可以很容易地与移动LBS集成。HIPE是一种混合解决方案，将智能手机传感器的测量与无线信号融合在一起。智能手机传感器用于测量用户的运动动力学信息(MDI)，该信息代表了各个位置的空间相关性。本文采用基于隐马尔可夫模型(HMM)的两种算法--基于网格的滤波算法和维特比算法作为数据融合的中央处理器来求解位置估计，这两种算法分别适用于实时导航和位置跟踪等不同的应用。与以往研究中提出的解决方案相比，HIPE更适用于各种运动场景，因为它不使用以往工作中常用的确定性运动模型。实验结果表明，HIPE能够为不同的MDI组合场景提供足够的定位精度和健壮性。HIPE是一个经济高效的解决方案，它可以灵活地与不同的智能手机平台合作，这些平台可能有不同类型的传感器可用于测量MDI数据。研究发现，随着MDI数据精度的提高，定位解的可靠性也随之提高。
Smartphone positioning is an enabling technology used to create new business in the navigation and mobile location-based services (LBS) industries. This paper presents a smartphone indoor positioning engine named HIPE that can be easily integrated with mobile LBS. HIPE is a hybrid solution that fuses measurements of smartphone sensors with wireless signals. The smartphone sensors are used to measure the user’s motion dynamics information (MDI), which represent the spatial correlation of various locations. Two algorithms based on hidden Markov model (HMM) problems, the grid-based filter and the Viterbi algorithm, are used in this paper as the central processor for data fusion to resolve the position estimates, and these algorithms are applicable for different applications, e.g., real-time navigation and location tracking, respectively. HIPE is more widely applicable for various motion scenarios than solutions proposed in previous studies because it uses no deterministic motion models, which have been commonly used in previous works. The experimental results showed that HIPE can provide adequate positioning accuracy and robustness for different scenarios of MDI combinations. HIPE is a cost-efficient solution, and it can work flexibly with different smartphone platforms, which may have different types of sensors available for the measurement of MDI data. The reliability of the positioning solution was found to increase with increasing precision of the MDI data.
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DOI：
10.1155/asp/2006/86706
发表时间：
2006-01-01
期刊：
EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING
影响因子：
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作者：
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