• Electronics Optics & Control
  • Vol. 29, Issue 11, 31 (2022)
WU Lihua1、2, YANG Lujing1, and YUAN Yuan2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2022.11.006 Cite this Article
    WU Lihua, YANG Lujing, YUAN Yuan. LPI Radar Modulation Recognition Based on Gaussian Smoothing Ambiguity Function and sDAE_LIBSVM[J]. Electronics Optics & Control, 2022, 29(11): 31 Copy Citation Text show less
    References

    [1] PACE P E.Detecting and classifying low probability of intercept radar[M].2nd ed.Norwood:Artech House,2009.

    [4] XU C C,ZHANG J Y,ZHOU Q S,et al.Recognition of radar signals based on AF grids and geometric shape constraint[J].Signal Processing,2019,157:30-44.

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    [13] GUO Q,YU X,RUAN G Q.LPI radar waveform recognition based on deep convolutional neural network transfer learning[J].Symmetry,2019,11(4):540.

    [14] ZHANG M,DIAO M,GUO L M.Convolutional neural networks for automatic cognitive radio waveform recognition[J].IEEE Access,2017,5:11074-11082.

    WU Lihua, YANG Lujing, YUAN Yuan. LPI Radar Modulation Recognition Based on Gaussian Smoothing Ambiguity Function and sDAE_LIBSVM[J]. Electronics Optics & Control, 2022, 29(11): 31
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