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author:

Zou, Han (Zou, Han.) [1] | Chen, Zhenghua (Chen, Zhenghua.) [2] | Jiang, Hao (Jiang, Hao.) [3] (Scholars:江灏) | Xie, Lihua (Xie, Lihua.) [4] | Spanos, Costas (Spanos, Costas.) [5]

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EI Scopus

Abstract:

In this paper, we propose a robust and accurate indoor localization and tracking system using smartphone built-in inertial measurement unit (IMU) sensors, WiFi received signal strength measurements and opportunistic iBeacon corrections based on particle filter. We utilize Pedestrian Dead Reckoning (PDR) approach which leverages smartphone equipped accelerometers, gyroscope and magnetometer to estimate the walking distance and direction of user. The position estimated by WiFi fingerprinting based approach is fused with PDR to reduce its drifting error. Since the number of WiFi routers is usually limited for localization in large-scale indoor environment, we employ the emerging iBeacon technology to occasionally correct the drifting error of PDR in poor WiFi coverage area. Extensive experiments have been conducted and verified the superiority of the proposed system in terms of localization accuracy and robustness. © 2017 IEEE.

Keyword:

Global system for mobile communications Indoor positioning systems Inertial navigation systems Mobile computing Navigation Smartphones Wireless local area networks (WLAN)

Community:

  • [ 1 ] [Zou, Han]Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States
  • [ 2 ] [Chen, Zhenghua]School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore, Singapore
  • [ 3 ] [Jiang, Hao]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 4 ] [Xie, Lihua]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 5 ] [Spanos, Costas]Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, United States

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Year: 2017

Page: 1-4

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 131

ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 1

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