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
*
Author to whom correspondence should be addressed.
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
▼
Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
Scifeed alert for new publications
Never miss any articles matching your research from any publisher- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Share & Cite This Article
MDPI and ACS Style
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.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.