Electronics Optics & Control, Volume. 29, Issue 11, 31(2022)

LPI Radar Modulation Recognition Based on Gaussian Smoothing Ambiguity Function and sDAE_LIBSVM

WU Lihua1...2, YANG Lujing1 and YUAN Yuan2 |Show fewer author(s)
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less

    With the characteristics of typical LPI radar signals and the requirements for modulation pattern recognition,a method of modulation recognition for typical LPI radar signal based on Gaussian smoothing ambiguity function and sDAE_LIBSVM is proposed.Firstly,the ambiguity function transformation combined with Gaussian smoothing is adopted to complete the construction of feature images.Secondly,a recognition network is built with the fusing of stack Denoising AutoEncoder (sDAE) and LIBSVM,which is used for the classification and recognition of feature images.The simulation results show that when SNR is -7 dB,the Probability of Successful Recognition(PSR) of the proposed method can achieve 97% for eight typical modulation patterns of LPI radars,including BPSK,Costas,Frank,LFM and T1~T4,and it has strong stability and robustness.Compared with other methods,it has better recognition performance.

    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Sep. 15, 2021

    Accepted: --

    Published Online: Feb. 10, 2023

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2022.11.006

    Topics