LoRa_RFFI_dataset
收藏IEEE2026-04-17 收录
下载链接：
https://ieee-dataport.org/open-access/lorarffidataset
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资源简介：
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.More details are available at https://github.com/gxhen/LoRa_RFFI. Please cite the paper 'Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa', IEEE Trans. Inf. Forensics Security (TIFS), 2022.
提供机构：
Zhang, Junqing; Marshall, Alan; Shen, Guanxiong
