• Journal of Terahertz Science and Electronic Information Technology
  • Vol. 20, Issue 1, 40 (2022)
ZHANG Jing*, YU Lei, HOU Changbo, ZHANG Jie, and LIN Jiaxin
Author Affiliations
  • [in Chinese]
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    DOI: 10.11805/tkyda2021152 Cite this Article
    ZHANG Jing, YU Lei, HOU Changbo, ZHANG Jie, LIN Jiaxin. Frequency-hopping signal modulation recognition based on time-frequency features[J]. Journal of Terahertz Science and Electronic Information Technology , 2022, 20(1): 40 Copy Citation Text show less
    References

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    [6] ZHANG Z,WANG C,GAN C,et al. Automatic modulation classification using convolutional neural network with features fusion of SPWVD and BJD[J]. IEEE Transactions on Signal & Information Processing Over Networks, 2019,5(3):469-478.

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    [9] LI A,HAO H,TAO R,et al. Implementation of mixing sequence optimized modulated wideband converter for ultra-wideband frequency hopping signals detection[J]. IEEE Transactions on Aerospace and Electronic Systems, 2020,56(6):4698-4710.

    [10] XIE J,HOU S,ZHANG Q. An improved central frequency estimation method for frequency-hopping signal[C]// 2019 IEEE International Conference on Power,Intelligent Computing and Systems(ICPICS). Shenyang,China:IEEE, 2019.

    [11] WU K,ZHANG J,HUANG X,et al. Waveform design and accurate channel estimation for frequency-hopping MIMO radarbased communications[J]. IEEE Transactions on Communications, 2020,69(2):1244-1258.

    [12] HUANG X,ZHANG L,YAN K,et al. Novel modulation recognizer for frequency-hopping signals based on persistence diagram[C]// 2020 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting(BMSB). [S.l.]:IEEE, 2020:1-6.

    ZHANG Jing, YU Lei, HOU Changbo, ZHANG Jie, LIN Jiaxin. Frequency-hopping signal modulation recognition based on time-frequency features[J]. Journal of Terahertz Science and Electronic Information Technology , 2022, 20(1): 40
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