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Article

Foreign Object Intrusion Detection on Metro Track Using Commodity WiFi Devices with the Fast Phase Calibration Algorithm

by 1,*, 1, 1, 2 and 2
1
School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410114, China
2
School of Computer Science and Engineering, Central South University, Changsha 410083, China
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Xie, J.; Li, S.; Ma, Y.F. Object instrusion detection on railway track using commodity wireless network. In Proceedings of the 38th Chinese Control Conference (CCC2019), Guangzhou, China, 27–30 July 2019.
Sensors 2020, 20(12), 3446; https://doi.org/10.3390/s20123446
Received: 20 April 2020 / Revised: 7 June 2020 / Accepted: 15 June 2020 / Published: 18 June 2020
(This article belongs to the Special Issue Sensors Localization in Indoor Wireless Networks)
With continuous development in the scales of cities, the role of the metro in urban transportation is becoming more and more important. When running at a high speed, the safety of the train in the tunnel is significantly affected by any foreign objects. To address this problem, we propose a foreign object intrusion detection method based on WiFi technology, which uses radio frequency (RF) signals to sense environmental changes and is suitable for lightless tunnel environments. Firstly, based on extensive experiments, the abnormal phase offset between the RF chains of the WiFi network card and its offset law was observed. Based on this observation, a fast phase calibration method is proposed. This method only needs the azimuth information between the transmitter and the receiver to calibrate the the phase offset rapidly through the compensation of the channel state information (CSI) data. The time complexity of the algorithm is lower than the existing algorithm. Secondly, a method combining the MUSIC algorithm and static clutter suppression is proposed. This method utilizes the incoherence of the dynamic reflection signal to improve the efficiency of foreign object detection and localization in the tunnel with a strong multipath effect. Finally, experiments were conducted using Intel 5300 NIC in the indoor environment that was close to the tunnel environment. The performance of the detection probability and localization accuracy of the proposed method is tested. View Full-Text
Keywords: foreign objects intrusion detection; CSI; WiFi; indoor localization; phase calibration; angle-of-arrival foreign objects intrusion detection; CSI; WiFi; indoor localization; phase calibration; angle-of-arrival
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MDPI and ACS Style

Li, S.; Xie, J.; Zhou, F.; Liu, W.; Li, H. Foreign Object Intrusion Detection on Metro Track Using Commodity WiFi Devices with the Fast Phase Calibration Algorithm. Sensors 2020, 20, 3446. https://doi.org/10.3390/s20123446

AMA Style

Li S, Xie J, Zhou F, Liu W, Li H. Foreign Object Intrusion Detection on Metro Track Using Commodity WiFi Devices with the Fast Phase Calibration Algorithm. Sensors. 2020; 20(12):3446. https://doi.org/10.3390/s20123446

Chicago/Turabian Style

Li, Shuo, Jin Xie, Feng Zhou, Weirong Liu, and Heng Li. 2020. "Foreign Object Intrusion Detection on Metro Track Using Commodity WiFi Devices with the Fast Phase Calibration Algorithm" Sensors 20, no. 12: 3446. https://doi.org/10.3390/s20123446

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