Journal of Terahertz Science and Electronic Information Technology , Volume. 22, Issue 11, 1289(2024)
Progressive neural architecture search based automatic modulation classification method
[1] [1] ZHU Z C, NANDI A K. Automatic modulation classification: principles, algorithms and applications[M]. Hoboken: John Wiley&Sons, 2015.
[2] [2] HUANG Sai, YAO Yuanyuan, WEI Zhiqing, et al. Automatic modulation classification of overlapped sources using multiple cumulants[J]. IEEE Transactions on Vehicular Technology, 2017, 66(7): 6089-6101. doi: 10.1109/TVT.2016.2636324.
[3] [3] HSUE S Z, SOLIMAN S S. Automatic modulation recognition of digitally modulated signals[C]//IEEE Military Communications Conference, 'Bridging the Gap. Interoperability, Survivability, Security. Boston, MA, USA: IEEE, 1989: 645-649.
[4] [4] KATO N, MAO B M, TANG F X, et al. Ten challenges in advancing machine learning technologies toward 6G[J]. IEEE Wireless Communications, 2020, 27(3): 96-103. doi: 10.1109/MWC.001.1900476.
[5] [5] ZHOU Zhenyu, LIAO Haijun, GU Bo, et al. Robust mobile crowd sensing: when deep learning meets edge computing[J]. IEEE Network, 2018, 32(4): 54-60. doi: 10.1109/MNET.2018.1700442.
[7] [7] ZHU X, FUJII T. A novel modulation classification method in cognitive radios using higher-order cumulants and denoising stacked sparse autoencoder[C]//2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA). Jeju, Korea (South): IEEE, 2016: 1-5. doi: 10.1109/APSIPA.2016.7820860.
[9] [9] ELSKEN T, METZEN J H, HUTTER F. Neural architecture search: a survey[DB/OL]. (2019-04-26). https://arxiv.org/abs/1808.05377.
[10] [10] ZOPH B, LE Q V. Neural architecture search with reinforcement learning[DB/OL]. (2016-11-05). https://arxiv.org/abs/1611.01578.
[11] [11] XIE L X, YUILLE A. Genetic CNN[C]//2017 IEEE International Conference on Computer Vision (ICCV). Venice, Italy: IEEE, 2017: 1388-1397. doi: 10.1109/ICCV.2017.154.
[12] [12] KANDASAMY K, NEISWANGER W, SCHNEIDER J, et al. Neural architecture search with Bayesian optimisation and optimal transport[C]//Neural Architecture Search with Bayesian Optimisation and Optimal Transport. [S.l.]: ACM, 2018: 2020-2029.
[13] [13] LIU H X, SIMONYAN K, YANG Y M. Darts: differentiable architecture search[DB/OL]. (2019-04-29). https://arxiv.org/abs/1806.09055.
[14] [14] CHEN Xin, XIE Lingxi, WU Jun, et al. Progressive differentiable architecture search: bridging the depth gap between search and evaluation[C]//2019 IEEE/CVF International Conference on Computer Vision (ICCV). Seoul, Korea (South): IEEE, 2019: 1294-1303. doi: 10.1109/ICCV.2019.00138.
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CHEN Xiaofeng, ZHANG Xixi, GUI Guan. Progressive neural architecture search based automatic modulation classification method[J]. Journal of Terahertz Science and Electronic Information Technology , 2024, 22(11): 1289
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Received: Apr. 2, 2023
Accepted: Jan. 3, 2025
Published Online: Jan. 3, 2025
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