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Contact-free pedestrian tracking using massive MIMO-OFDM communication system

Chenglong Li, Sibren De Bast, Yang Miao (UGent) , Emmeric Tanghe (UGent) , Sofie Pollin and Wout Joseph (UGent)
(2022) 2022 19TH EUROPEAN RADAR CONFERENCE (EURAD). In European Radar Conference EuRAD p.181-184
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Abstract
This paper establishes an indoor distributed radar-like prototype using a sub-6 GHz massive multiple-input multiple-output (MIMO) communication system. Based on the prototype, the contact-free human tracking performance is experimentally evaluated. Instead of extracting the location related geometrical metrics (angle and distance), we propose to localize the pedestrian through the channel state information (CSI) directly. Inspired by the concept of synthetic aperture, a particle filter-based hologram tracking algorithm is proposed. The experimental results show that the proposed algorithm can achieve 20.1-cm mean tracking accuracy in real-time.
Keywords
Massive multiple-input multiple-output, indoor localization, wireless sensing, synthetic aperture radar, channel state information, LOCALIZATION

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Citation

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MLA
Li, Chenglong, et al. “Contact-Free Pedestrian Tracking Using Massive MIMO-OFDM Communication System.” 2022 19TH EUROPEAN RADAR CONFERENCE (EURAD), IEEE, 2022, pp. 181–84, doi:10.23919/eurad54643.2022.9924658.
APA
Li, C., De Bast, S., Miao, Y., Tanghe, E., Pollin, S., & Joseph, W. (2022). Contact-free pedestrian tracking using massive MIMO-OFDM communication system. 2022 19TH EUROPEAN RADAR CONFERENCE (EURAD), 181–184. https://doi.org/10.23919/eurad54643.2022.9924658
Chicago author-date
Li, Chenglong, Sibren De Bast, Yang Miao, Emmeric Tanghe, Sofie Pollin, and Wout Joseph. 2022. “Contact-Free Pedestrian Tracking Using Massive MIMO-OFDM Communication System.” In 2022 19TH EUROPEAN RADAR CONFERENCE (EURAD), 181–84. New York: IEEE. https://doi.org/10.23919/eurad54643.2022.9924658.
Chicago author-date (all authors)
Li, Chenglong, Sibren De Bast, Yang Miao, Emmeric Tanghe, Sofie Pollin, and Wout Joseph. 2022. “Contact-Free Pedestrian Tracking Using Massive MIMO-OFDM Communication System.” In 2022 19TH EUROPEAN RADAR CONFERENCE (EURAD), 181–184. New York: IEEE. doi:10.23919/eurad54643.2022.9924658.
Vancouver
1.
Li C, De Bast S, Miao Y, Tanghe E, Pollin S, Joseph W. Contact-free pedestrian tracking using massive MIMO-OFDM communication system. In: 2022 19TH EUROPEAN RADAR CONFERENCE (EURAD). New York: IEEE; 2022. p. 181–4.
IEEE
[1]
C. Li, S. De Bast, Y. Miao, E. Tanghe, S. Pollin, and W. Joseph, “Contact-free pedestrian tracking using massive MIMO-OFDM communication system,” in 2022 19TH EUROPEAN RADAR CONFERENCE (EURAD), Milan, ITALY, 2022, pp. 181–184.
@inproceedings{01GRVBDQD6SH7N34MQRKXGYG3F,
  abstract     = {{This paper establishes an indoor distributed radar-like prototype using a sub-6 GHz massive multiple-input multiple-output (MIMO) communication system. Based on the prototype, the contact-free human tracking performance is experimentally evaluated. Instead of extracting the location related geometrical metrics (angle and distance), we propose to localize the pedestrian through the channel state information (CSI) directly. Inspired by the concept of synthetic aperture, a particle filter-based hologram tracking algorithm is proposed. The experimental results show that the proposed algorithm can achieve 20.1-cm mean tracking accuracy in real-time.}},
  author       = {{Li, Chenglong and De Bast, Sibren and Miao, Yang and Tanghe, Emmeric and Pollin, Sofie and Joseph, Wout}},
  booktitle    = {{2022 19TH EUROPEAN RADAR CONFERENCE (EURAD)}},
  isbn         = {{9782874870712}},
  keywords     = {{Massive multiple-input multiple-output,indoor localization,wireless sensing,synthetic aperture radar,channel state information,LOCALIZATION}},
  language     = {{eng}},
  location     = {{Milan, ITALY}},
  pages        = {{181--184}},
  publisher    = {{IEEE}},
  title        = {{Contact-free pedestrian tracking using massive MIMO-OFDM communication system}},
  url          = {{http://doi.org/10.23919/eurad54643.2022.9924658}},
  year         = {{2022}},
}
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