Smartphone Inertial Sensor-Based Indoor Localization and Tracking With iBeacon Corrections
Smartphone Inertial Sensor-Based Indoor Localization and Tracking With iBeacon Corrections
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DOI：
10.1109/tii.2016.2579265
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发表时间：
2016-08-01
影响因子：
12.3
通讯作者：
Soh, Yeng Chai
中科院分区：
文献类型：
--
作者：
Chen, Zhenghua;Zhu, Qingchang;Soh, Yeng Chai
全球定位系统（GPS）可以很容易地用于室外定位，但GPS信号在室内环境中会降级。如何开发一个鲁棒、准确的室内定位系统是一个迫切的任务。在本文中，我们提出了一种基于智能手机惯性传感器的室内定位和跟踪系统，偶尔iBeacon校正。基于智能手机的行人航位推算（PDR）方法中的一些重要问题，即。例如，研究了步检测、行走方向估计和初始点估计。PDR方法的一个问题是随步行距离的漂移。我们应用最近的技术，iBeacon，偶尔校准PDR方法的漂移。通过分析iBeacon测量，我们定义了一个有效的校准范围，其中使用扩展卡尔曼滤波器。所提出的定位和跟踪系统可以在资源有限的智能手机中实现。为了评估所提出的方法的性能，在两种不同的环境下进行了真实的实验。实验结果证明了该方法的有效性。我们还测试了相对于iBeacon数量的定位精度。
The Global Positioning System (GPS) can be readily used for outdoor localization, but GPS signals are degraded in indoor environments. How to develop a robust and accurate indoor localization system is an emergent task. In this paper, we propose a smartphone inertial sensor-based indoor localization and tracking system with occasional iBeacon corrections. Some important issues in a smartphone-based pedestrian dead reckoning (PDR) approach, i. e., step detection, walking direction estimation, and initial point estimation, are studied. One problem of the PDR approach is the drift with walking distance. We apply a recent technology, iBeacon, to occasionally calibrate the drift of the PDR approach. By analyzing iBeacon measurements, we define an efficient calibration range where an extended Kalman filter is utilized. The proposed localization and tracking system can be implemented in resource-limited smartphones. To evaluate the performance of the proposed approach, real experiments under two different environments have been conducted. The experimental results demonstrated the effectiveness of the proposed approach. We also tested the localization accuracy with respect to the number of iBeacons.