[1] CLARK B,GUNZINGER M.Winning the airwaves:regaining Americas dominance in the electromagnetic spectrum[R/OL].(2015-12-01)[2022-03-21].https://csbaonline.org/research/publications/winning-the-airwaves-sustaining-americas-advantage-in-the-electronic-spectrum.
[3] ZHOU R L,LIU F G,GRAVELLE C W.Deep learning for modulation recognition:a survey with a demonstration[J].IEEE Access,2020,8:67366-67376.
[4] OSHEA T,HOYDIS J.An introduction to deep learning for the physical layer[J].IEEE Transactions on Cognitive Communications and Networking,2017,3(4):563-575.
[7] WAIBEL A,HANAZAWA T,HINTON G,et al.Phoneme recognition using time-delay neural networks[J].IEEE Transactions on Acoustics,Speech,and Signal Processing,1989,37(3):328-339.
[8] OSHEA T J,CORGAN J,CLANCY T C.Convolutional radio modulation recognition networks[C]//International Conference on Engineering Applications of Neural Networks.Cham: Springer,2016:213-226.
[9] OSHEA T J,ROY T,CLANCY T C.Over-the-air deep learning based radio signal classification[J].IEEE Journal of Selected Topics in Signal Processing,2018,12(1):168-179.
[10] PENG S L,JIANG H Y,WANG H X,et al.Modulation classification based on signal constellation diagrams and deep learning[J].IEEE Transactions on Neural Networks and Learning Systems,2019,30(3):718-727.
[11] WANG Y,LIU M,YANG J,et al.Data-driven deep learning for automatic modulation recognition in cognitive radios [J].IEEE Transactions on Vehicular Technology, 2019,68(4):4074-4077.
[12] LV J H,ZHANG L,TENG X Y.A modulation classification based on SVM[C]//The 15th International Conference on Optical Communications and Networks(ICOCN).Hangzhou:IEEE,2016:1-3.
[13] ZHU Z H,ASLAM M W,NANDI A K.Genetic algorithm optimized distribution sampling test for M-QAM modulation classification[J].Signal Processing,2014,94:264-277.
[14] LIU X Y,YANG D Y,El GAMAL A E.Deep neural network architectures for modulation classification[C]//The 51st Asilomar Conference on Signals,Systems,and Computers.Pacific Grove:IEEE,2017:915-919.
[15] ZHU X,FUJII T.A modulation classification method in cognitive radios system using stacked denoising sparse autoencoder[C]//IEEE Radio and Wireless Symposium(RWS).Phoenix:IEEE,2017:218-220.
[16] HE K M,ZHANG X Y,REN S Q,et al.Spatial pyramid pooling in deep convolutional networks for visual recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2015,37(9):1904-1916.