This LoRa-RFFI project builds a LoRa radio frequency fingerprint identification (RFFI) system based on deep learning techniques. The RF signals are collected from 60 commercial-off-the-shelf LoRa devices. The packet preamble part and device labels are provided. The dataset consists of 19 sub-datasets and please refer to the README document for more detailed collection settings for all the sub-datasets.
DOI Link:
Dataset Files
You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.
Documentation:
[1] Guanxiong Shen, Junqing Zhang, Alan Marshall,
"LoRa_RFFI_dataset",
IEEE Dataport,
2022. [Online]. Available: http://dx.doi.org/10.21227/qqt4-kz19. Accessed: Feb. 01, 2023.
@data{qqt4-kz19-22,
doi = {10.21227/qqt4-kz19},
url = {http://dx.doi.org/10.21227/qqt4-kz19},
author = {Guanxiong Shen; Junqing Zhang; Alan Marshall },
publisher = {IEEE Dataport},
title = {LoRa_RFFI_dataset},
year = {2022} }
doi = {10.21227/qqt4-kz19},
url = {http://dx.doi.org/10.21227/qqt4-kz19},
author = {Guanxiong Shen; Junqing Zhang; Alan Marshall },
publisher = {IEEE Dataport},
title = {LoRa_RFFI_dataset},
year = {2022} }
TY - DATA
T1 - LoRa_RFFI_dataset
AU - Guanxiong Shen; Junqing Zhang; Alan Marshall
PY - 2022
PB - IEEE Dataport
UR - 10.21227/qqt4-kz19
ER -
T1 - LoRa_RFFI_dataset
AU - Guanxiong Shen; Junqing Zhang; Alan Marshall
PY - 2022
PB - IEEE Dataport
UR - 10.21227/qqt4-kz19
ER -
Guanxiong Shen, Junqing Zhang, Alan Marshall.
(2022).
LoRa_RFFI_dataset.
IEEE Dataport.
http://dx.doi.org/10.21227/qqt4-kz19
Guanxiong Shen, Junqing Zhang, Alan Marshall,
2022.
LoRa_RFFI_dataset.
Available at:
http://dx.doi.org/10.21227/qqt4-kz19.
Guanxiong Shen, Junqing Zhang, Alan Marshall.
(2022).
"LoRa_RFFI_dataset."
Web.
1. Guanxiong Shen, Junqing Zhang, Alan Marshall.
LoRa_RFFI_dataset [Internet].
IEEE Dataport; 2022.
Available from :
http://dx.doi.org/10.21227/qqt4-kz19
Guanxiong Shen, Junqing Zhang, Alan Marshall.
"LoRa_RFFI_dataset."
doi:
10.21227/qqt4-kz19