[1] LI Jingchao,YING Yulong,JI Chunlei. Study on radio frequency signal gene characteristics from the perspective of fractal theory[J]. IEEE Access, 2019(7):124268–124282.
[2] CHEN Xiang,LI Jingchao,HAN Hui,et al. Improving the signal subtle feature extraction performance based on dual improved fractal box dimension eigenvectors[J]. Royal Society Open Science, 2018,5(5):180087.
[3] ZHENG Tianhang,SUN Zhi,REN Kui. FID:function modeling-based data-independent and channel-robust physical-layer identification[C]// IEEE Conference on Computer Communications. Paris,France:IEEE, 2019:199-207.
[4] LI Jingchao,LI Yibing,SHOUHEI Kidera,et al. A robust signal recognition method for communication system under time-varying SNR environment[J]. IEICE Transactions on Information and Systems, 2013,E96-D(12):2814-2819.
[5] SHU Yuanchao,HUANG Yinghua,ZHANG Jiaqi,et al. Gradient-based fingerprinting for indoor localization and tracking[J]. IEEE Transactions on Industrial Electronics, 2016,63(4):2424-2433.
[6] LIN Kai,CHEN Min,DENG Jing,et al. Enhanced fingerprinting and trajectory prediction for IoT localization in smart buildings[J]. IEEE Transactions on Automation Science and Engineering, 2016,13(3):1294-1307.
[7] LI Jingchao,BI Dongyuan,YING Yulong,et al. An improved algorithm for extracting subtle features of radiation source individual signals[J]. Electronics, 2019,8(2):1-11.
[8] HAN Hui,LI Jingchao,CHEN Xiang. The individual identification method of wireless device based on a robust dimensionality reduction model of hybrid feature information[J]. Mobile Networks & Applications, 2018,23(4):709-716.
[9] LI Jingchao. A novel recognition algorithm based on holder coefficient theory and interval gray relation classifier[J]. KSII Transactions on Internet and Information Systems, 2015,9(11):4573-4584.
[10] LI Jingchao. A new robust signal recognition approach based on holder cloud features under varying SNR environment[J]. KSII Transactions on Internet and Information Systems, 2015,9(12):4934-4949.
[11] YUAN Yingjun,HUANG Zhitao,WU Hao,et al. Specific emitter identification based on Hilbert–Huang transform-based time-frequency-energy distribution features[J]. IET Communications, 2014,8(13):2404-2412.
[12] WANG Shenhua,JIANG Hongliang,FANG Xiaofang,et al. Radio frequency fingerprint identification based on deep complex residual network[J]. IEEE Access, 2020(8):204417-204424.
[13] PENG L,ZHANG J,LIU M,et al. Deep learning based RF fingerprint identification using differential constellation trace figure[J]. IEEE Transactions on Vehicular Technology, 2020,69(1):1091-1095.
[14] JIANG Yu,PENG Linning,HU Aiqun,et al. Physical layer identification of LoRa devices using constellation trace figure[J]. EURASIP Journal on Wireless Communications and Networking, 2019(1):223.
[15] YING Yulong,LI Jingchao,JI Chunlei,et al. Differential contour stellar based radio frequency fingerprint identification for Internet of Things[J]. IEEE Access, 2021(9):53745-53753.
[16] DING L,WANG S,WANG F,et al. Specific emitter identification via Convolutional Neural Networks[J]. IEEE Communications Letters, 2018,22(12):2591-2594.
[17] TU Y,LIN Y,WANG J,et al. Semi-supervised learning with Generative Adversarial Networks on digital modulation classification[J]. Computers Materials & Continua, 2018,55(2):243–254.
[18] LI Jingchao,YING Yulong,JI Chunlei. Study on gas turbine gas-path fault diagnosis method based on quadratic entropy feature extraction[J]. IEEE Access, 2019(7):89118-89127.