LORA_RFFI_DATASET_DIFFERENT_SPREADING_FACTORS

Citation Author(s):: Guanxiong Shen (University of Liverpool)

Junqing Zhang (University of Liverpool)

Alan Marshall (University of Liverpool)
Submitted by:: Guanxiong Shen
Last updated:: Tue, 04/04/2023 - 13:45
DOI:: 10.21227/5q6q-c107

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Keywords:

LoRa

Device Authentication

Radio Frequency Fingerprint Identification

Deep Learning

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Abstract

This project builds a length-versatile and noise-robust LoRa radio frequency fingerprint identification (RFFI) system. The LoRa signals are collected from 10 commercial-off-the-shelf LoRa devices, with the spreading factor (SF) set to 7, 8, 9, respectively. The packet preamble part and device labels are provided.

More details can be found at gxhen/lengthVersatileRFFI (github.com). Please cite the paper 'Towards length-versatile and noise-robust radio frequency fingerprint identification', IEEE Trans. Inf. Forensics Security (TIFS), 2023.