Domain Generalization for Cross-Receiver Radio Frequency Fingerprint Identification
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DOI: 10.1109/jiot.2024.3486068
Abstract: Radio frequency (RF) fingerprint identification (RFFI) technology uniquely identifies emitters by analyzing unique distortions in the transmitted signal caused by nonideal hardware. Recently, RFFI based on deep learning methods has gained popularity and is seen… read more here.
Keywords: frequency fingerprint; fingerprint identification; radio frequency; receiver ... See more keywords
Cross-Receiver Radio Frequency Fingerprint Identification Based on Domain Adaptation With Dynamic Distribution Alignment
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DOI: 10.1109/jiot.2025.3573713
Abstract: Radio frequency fingerprint identification (RFFI) utilizes nonideal hardware features present in the signal to identify different transmitters. However, existing RFFI models have poor generalization capabilities. When a model trained on one receiver is deployed on… read more here.
Keywords: distribution; receiver; cross receiver; identification ... See more keywords
Cross-Receiver Radio Frequency Fingerprint Identification Based on Contrastive Learning and Subdomain Adaptation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3241592
Abstract: Radio frequency fingerprint (RFF) identification is emerging as an attractive paradigm for physical layer security. Despite the exceptional accuracy achieved by deep learning (DL) based schemes, few works consider the cross-receiver scenario. The performance deteriorates… read more here.
Keywords: identification; frequency fingerprint; cross receiver; receiver ... See more keywords