• Journal of Terahertz Science and Electronic Information Technology
  • Vol. 19, Issue 4, 617 (2021)
LIN Xintong1、2、*, ZHANG Lin1、2, WU Zhiqiang1, and JIANG Jun1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.11805/tkyda2021122 Cite this Article
    LIN Xintong, ZHANG Lin, WU Zhiqiang, JIANG Jun. Modulation recognition method based on convolutional neural network and cyclic spectrum images[J]. Journal of Terahertz Science and Electronic Information Technology , 2021, 19(4): 617 Copy Citation Text show less
    References

    [1] DOBRE O A,ABDI A,BAR-NESS Y,et al. Survey of automatic modulation classification techniques:classical approaches and new trends[J]. IET Communications, 2007,1(2):137-156.

    [2] HAMEED F,DOBRE O A,POPESCU D C. On the likelihood-based approach to modulation classification[J]. IEEE Transactions on Wireless Communications, 2009,8(12):5884-5892.

    [8] O'SHEA T J,CORGAN J,CLANCY T C. Convolutional radio modulation recognition networks[C]// International Conference on Engineering Applications of Neural Networks. Aberdeen,UK:[s.n.], 2016:213-226.

    [9] RAJENDRAN S,MEERT W,GIUSTINIANO D,et al. Distributed deep learning models for wireless signal classification with low-cost spectrum sensors[J]. IEEE Transactions on Cognitive Communications and Networking, 2018,4(3):433-445.

    [10] WU H,LI Y,ZHOU L,et al. Convolutional neural network and multi-feature fusion for automatic modulation classification[J]. Electronics Letters, 2019,55(16):895-897.

    [11] O’SHEA T J,WEST N. Radio machine learning dataset generation with GNU radio[C]// Proceedings of the 6th GNU Radio Conference. Boulder,CO,USA:[s.n.], 2016.

    [12] ROBERTS R S,BROWN W A,LOOMIS H H. Computationally efficient algorithms for cyclic spectral analysis[J]. IEEE Signal Processing Magazine, 1991,8(2):38-49.

    [13] FEHSKE A,GAEDDERT J D,REED J H. A new approach to signal classification using spectral correlation and neural networks[C]// IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks. Baltimore,MD, USA:IEEE, 2005:144-150.

    [16] ZENG Zixian,GONG Qingge,ZHANG Jun. CNN model design of gesture recognition based on tensorflow framework[C]// 2019 IEEE Information Technology,Networking,Electronic and Automation Control Conference. Chengdu,China:IEEE, 2019:1062-1067.

    LIN Xintong, ZHANG Lin, WU Zhiqiang, JIANG Jun. Modulation recognition method based on convolutional neural network and cyclic spectrum images[J]. Journal of Terahertz Science and Electronic Information Technology , 2021, 19(4): 617
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