LoRa_Federated_RFFI_dataset
- Citation Author(s):
-
Guanxiong Shen (Southeast University)Junqing Zhang (University of Liverpool)
- Submitted by:
- Guanxiong Shen
- Last updated:
- DOI:
- 10.21227/nkdv-az07
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Abstract
This dataset contains LoRa physical layer signals collected from 60 LoRa devices and six SDRs (PLUTO-SDR, USRP B200 mini, USRP B210, USRP N210, RTL-SDR). It is intended for use by researchers in the development of a federated RFFI system, whereby the signals collected from different receivers and locations can be employed for evaluation purposes.
More details can be found at https://github.com/gxhen/federatedRFFI
Please cite the paper 'Federated Radio Frequency Fingerprint Identification Powered by Unsupervised Contrastive Learning', IEEE Trans. Inf. Forensics Security (TIFS), 2024.
Instructions:
Please refer to the README file at https://github.com/gxhen/federatedRFFI for more information.
