PILA: Sub-Meter Localization Using CSI from Commodity Wi-Fi Devices
AbstractThe 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-Text
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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.
Tian Z, Li Z, Zhou M, Jin Y, Wu Z. PILA: Sub-Meter Localization Using CSI from Commodity Wi-Fi Devices. Sensors. 2016; 16(10):1664.Chicago/Turabian Style
Tian, Zengshan; Li, Ze; Zhou, Mu; Jin, Yue; Wu, Zipeng. 2016. "PILA: Sub-Meter Localization Using CSI from Commodity Wi-Fi Devices." Sensors 16, no. 10: 1664.
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