The following publications are possibly variants of this publication:
- On the Use of Power Amplifier Nonlinearity Quotient to Improve Radio Frequency Fingerprint Identification in Time-Varying ChannelsLu Yang, Seyit Camtepe, Yansong Gao, Vicky Liu, Dhammika Jayalath. pimrc 2023: 1-7 [doi]
- Radio frequency fingerprinting based on the constellation errorsYuanling Huang, Hui Zheng. apcc 2012: 900-905 [doi]
- Radio frequency fingerprint identification based on stream differential constellation trace figuresYang Yang, Aiqun Hu, Jiabao Yu, Guyue Li, Zhen Zhang. phycomm, 49:101458, 2021. [doi]
- Receiver-Agnostic Radio Frequency Fingerprint Identification via Feature DisentanglementHongli Liu, Shaoxian Zhu, Liu Yang, Qiang Li, Jingran Lin. spawc 2023: 46-50 [doi]
- Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRaGuanxiong Shen, Junqing Zhang, Alan Marshall 0001, Joseph R. Cavallaro. tifs, 17:774-787, 2022. [doi]
- Design of a Channel Robust Radio Frequency Fingerprint Identification SchemeYuexiu Xing, Aiqun Hu, Junqing Zhang, Linning Peng, Xianbin Wang 0001. iotj, 10(8, April 15):6946-6959, 2023. [doi]
- Radio Frequency Fingerprint Identification for LoRa Using Deep LearningGuanxiong Shen, Junqing Zhang, Alan Marshall 0001, Linning Peng, Xianbin Wang 0001. jsac, 39(8):2604-2616, 2021. [doi]
- Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNNGuanxiong Shen, Junqing Zhang, Alan Marshall 0001, Linning Peng, Xianbin Wang 0001. infocom 2021: 1-10 [doi]
- Radio Frequency Fingerprint Collaborative Intelligent Identification Using Incremental LearningMingqian Liu, Jiakun Wang, Nan Zhao 0001, Yunfei Chen 0001, Hao Song 0001, F. Richard Yu. tnse, 9(5):3222-3233, 2022. [doi]
- Incremental Learning Based Radio Frequency Fingerprint Identification Using Intelligent RepresentationMingqian Liu, Jiakun Wang, Cheng Qian 0001. infocom 2021: 1-6 [doi]