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.

Dataset Files

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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.
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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 -
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