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TDoA-based outdoor positioning with tracking algorithm in a public LoRa network

Nico Podevijn (UGent) , David Plets (UGent) , Jens Trogh (UGent) , Luc Martens (UGent) , Pieter Suanet, Kim Hendrikse and Wout Joseph (UGent)
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Abstract
The performance of LoRa geolocation for outdoor tracking purposes has been investigated on a public LoRaWAN network. Time Difference of Arrival (TDoA) localization accuracy, update probability, and update frequency were evaluated for different trajectories (walking, cycling, and driving) and LoRa spreading factors. A median accuracy of 200 m was obtained for the raw TDoA output data. In 90% of the cases, the error was less than 480 m. Taking into account the road map and movement speed significantly improves accuracy to a median of 75 m and a 90th percentile error of less than 180 m.

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Chicago
Podevijn, Nico, David Plets, Jens Trogh, Luc Martens, Pieter Suanet, Kim Hendrikse, and Wout Joseph. 2018. “TDoA-based Outdoor Positioning with Tracking Algorithm in a Public LoRa Network.” Wireless Communications & Mobile Computing.
APA
Podevijn, N., Plets, D., Trogh, J., Martens, L., Suanet, P., Hendrikse, K., & Joseph, W. (2018). TDoA-based outdoor positioning with tracking algorithm in a public LoRa network. WIRELESS COMMUNICATIONS & MOBILE COMPUTING.
Vancouver
1.
Podevijn N, Plets D, Trogh J, Martens L, Suanet P, Hendrikse K, et al. TDoA-based outdoor positioning with tracking algorithm in a public LoRa network. WIRELESS COMMUNICATIONS & MOBILE COMPUTING. London: Wiley-hindawi; 2018;
MLA
Podevijn, Nico, David Plets, Jens Trogh, et al. “TDoA-based Outdoor Positioning with Tracking Algorithm in a Public LoRa Network.” WIRELESS COMMUNICATIONS & MOBILE COMPUTING (2018): n. pag. Print.
@article{8565802,
  abstract     = {The performance of LoRa geolocation for outdoor tracking purposes has been investigated on a public LoRaWAN network. Time Difference of Arrival (TDoA) localization accuracy, update probability, and update frequency were evaluated for different trajectories (walking, cycling, and driving) and LoRa spreading factors. A median accuracy of 200 m was obtained for the raw TDoA output data. In 90\% of the cases, the error was less than 480 m. Taking into account the road map and movement speed significantly improves accuracy to a median of 75 m and a 90th percentile error of less than 180 m.},
  articleno    = {1864209},
  author       = {Podevijn, Nico and Plets, David and Trogh, Jens and Martens, Luc and Suanet, Pieter and Hendrikse, Kim and Joseph, Wout},
  issn         = {1530-8669},
  journal      = {WIRELESS COMMUNICATIONS \& MOBILE COMPUTING},
  language     = {eng},
  pages        = {9},
  publisher    = {Wiley-hindawi},
  title        = {TDoA-based outdoor positioning with tracking algorithm in a public LoRa network},
  url          = {http://dx.doi.org/10.1155/2018/1864209},
  year         = {2018},
}

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