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Experimental performance evaluation of outdoor TDoA and RSS positioning in a public LoRa network

David Plets (UGent) , Nico Podevijn (UGent) , Jens Trogh (UGent) , Luc Martens (UGent) and Wout Joseph (UGent)
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Abstract
This paper experimentally compares the positioning accuracy of TDoA-based and RSS-based localization in a public outdoor LoRa network in the Netherlands. The performance of different Received Signal Strength (RSS)-based approaches (proximity, centroid, map matching,...) is compared with Time-Difference-of-Arrival (TDoA) performance. The number of RSS and TDoA location updates and the positioning accuracy per spreading factor (SF) is assessed, allowing to select the optimal SF choice for the network. A road mapping filter is applied to the raw location estimates for the best algorithms and SFs. RSS-based approaches have median and maximal errors that are limited to 1000 m and 2000 m respectively, using a road mapping filter. Using the same filter, TDoA-based approaches deliver median and maximal errors in the order of 150 m and 350 m respectively. However, the number of location updates per time unit using SF7 is around 10 times higher for RSS algorithms than for the TDoA algorithm.
Keywords
direction-of-arrival estimation, filtering theory, time-of-arrival estimation, Received Signal Strength-based approaches, raw location estimates, optimal SF choice, Time-Difference-of-Arrival performance, map matching, public outdoor LoRa network, RSS-based localization, positioning accuracy, RSS positioning, outdoor TDoA, experimental performance evaluation, RSS algorithms, SF7, location updates, maximal errors, road mapping filter, Roads, Global Positioning System, Mobile nodes, NIST, Base stations, Trajectory

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Citation

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MLA
Plets, David, et al. “Experimental Performance Evaluation of Outdoor TDoA and RSS Positioning in a Public LoRa Network.” 2018 NINTH INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN 2018), 2018, pp. 1–8.
APA
Plets, D., Podevijn, N., Trogh, J., Martens, L., & Joseph, W. (2018). Experimental performance evaluation of outdoor TDoA and RSS positioning in a public LoRa network. In 2018 NINTH INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN 2018) (pp. 1–8). Nantes, France.
Chicago author-date
Plets, David, Nico Podevijn, Jens Trogh, Luc Martens, and Wout Joseph. 2018. “Experimental Performance Evaluation of Outdoor TDoA and RSS Positioning in a Public LoRa Network.” In 2018 NINTH INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN 2018), 1–8.
Chicago author-date (all authors)
Plets, David, Nico Podevijn, Jens Trogh, Luc Martens, and Wout Joseph. 2018. “Experimental Performance Evaluation of Outdoor TDoA and RSS Positioning in a Public LoRa Network.” In 2018 NINTH INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN 2018), 1–8.
Vancouver
1.
Plets D, Podevijn N, Trogh J, Martens L, Joseph W. Experimental performance evaluation of outdoor TDoA and RSS positioning in a public LoRa network. In: 2018 NINTH INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN 2018). 2018. p. 1–8.
IEEE
[1]
D. Plets, N. Podevijn, J. Trogh, L. Martens, and W. Joseph, “Experimental performance evaluation of outdoor TDoA and RSS positioning in a public LoRa network,” in 2018 NINTH INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN 2018), Nantes, France, 2018, pp. 1–8.
@inproceedings{8585275,
  abstract     = {This paper experimentally compares the positioning accuracy of TDoA-based and RSS-based localization in a public outdoor LoRa network in the Netherlands. The performance of different Received Signal Strength (RSS)-based approaches (proximity, centroid, map matching,...) is compared with Time-Difference-of-Arrival (TDoA) performance. The number of RSS and TDoA location updates and the positioning accuracy per spreading factor (SF) is assessed, allowing to select the optimal SF choice for the network. A road mapping filter is applied to the raw location estimates for the best algorithms and SFs. RSS-based approaches have median and maximal errors that are limited to 1000 m and 2000 m respectively, using a road mapping filter. Using the same filter, TDoA-based approaches deliver median and maximal errors in the order of 150 m and 350 m respectively. However, the number of location updates per time unit using SF7 is around 10 times higher for RSS algorithms than for the TDoA algorithm.},
  author       = {Plets, David and Podevijn, Nico and Trogh, Jens and Martens, Luc and Joseph, Wout},
  booktitle    = {2018 NINTH INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN 2018)},
  isbn         = {9781538656358},
  issn         = {2471-917X},
  keywords     = {direction-of-arrival estimation,filtering theory,time-of-arrival estimation,Received Signal Strength-based approaches,raw location estimates,optimal SF choice,Time-Difference-of-Arrival performance,map matching,public outdoor LoRa network,RSS-based localization,positioning accuracy,RSS positioning,outdoor TDoA,experimental performance evaluation,RSS algorithms,SF7,location updates,maximal errors,road mapping filter,Roads,Global Positioning System,Mobile nodes,NIST,Base stations,Trajectory},
  language     = {eng},
  location     = {Nantes, France},
  pages        = {1--8},
  title        = {Experimental performance evaluation of outdoor TDoA and RSS positioning in a public LoRa network},
  url          = {http://dx.doi.org/10.1109/IPIN.2018.8533761},
  year         = {2018},
}

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