Sensors 2016, 16(10), 1664; doi:10.3390/s16101664
PILA: Sub-Meter Localization Using CSI from Commodity Wi-Fi Devices
Chongqing Key Lab of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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Academic Editor: Yu Wang
Received: 28 August 2016 / Revised: 27 September 2016 / Accepted: 4 October 2016 / Published: 10 October 2016
(This article belongs to the Special Issue Advanced Algorithms for Mobile Sensing: from Wireless Sensor Networks to Mobile Crowd Sensing)
Abstract
The aim of this paper is to present a new indoor localization approach by employing the Angle-of-arrival (AOA) and Received Signal Strength (RSS) measurements in Wi-Fi network. To achieve this goal, we first collect the Channel State Information (CSI) by using the commodity Wi-Fi devices with our designed three antennas to estimate the AOA of Wi-Fi signal. Second, we propose a direct path identification algorithm to obtain the direct signal path for the sake of reducing the interference of multipath effect on the AOA estimation. Third, we construct a new objective function to solve the localization problem by integrating the AOA and RSS information. Although the localization problem is non-convex, we use the Second-order Cone Programming (SOCP) relaxation approach to transform it into a convex problem. Finally, the effectiveness of our approach is verified based on the prototype implementation by using the commodity Wi-Fi devices. The experimental results show that our approach can achieve the median error 0.7 m in the actual indoor environment. View Full-TextKeywords:
indoor localization; Wi-Fi; Channel State Information; Angle-of-Arrival; Received Signal Strength
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Tian, Z.; Li, Z.; Zhou, M.; Jin, Y.; Wu, Z. PILA: Sub-Meter Localization Using CSI from Commodity Wi-Fi Devices. Sensors 2016, 16, 1664.
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