Name
Abstract | ||
|---|---|---|
Radio frequency fingerprint identification (RFFI) is an emerging device authentication technique that relies on the intrinsic hardware characteristics of wireless devices. This paper designs a deep learning-based RFFI scheme for Long Range (LoRa) systems. Firstly, the instantaneous carrier frequency offset (CFO) is found to drift, which could result in misclassification and significantly compromis... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JSAC.2021.3087250 | IEEE Journal on Selected Areas in Communications |
Keywords | DocType | Volume |
Deep learning,Spectrogram,Signal representation,Time-frequency analysis,Hardware,Authentication,Wireless communication | Journal | 39 |
Issue | ISSN | Citations |
8 | 0733-8716 | 4 |
PageRank | References | Authors |
0.43 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guanxiong Shen | 1 | 4 | 1.45 |
| Junqing Zhang | 2 | 200 | 17.82 |
| Alan Marshall | 3 | 225 | 28.87 |
| Linning Peng | 4 | 59 | 11.33 |
| Xianbin Wang | 5 | 2365 | 223.86 |