Journal of Terahertz Science and Electronic Information Technology , Volume. 19, Issue 4, 556(2021)

Transfer learning for electromagnetic target recognition

WANG Meiyu1、* and TIAN Qiao2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(9)

    [1] [1] SECMEN M,TASGETIREN M F. Ensemble of differential evolution algorithms for electromagnetic target recognition problem[J]. IET Radar,Sonar & Navigation, 2013,7(7):780-788.

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    [7] [7] MATUSZEWSKI J,PIETROW D. Recognition of electromagnetic sources with the use of deep neural networks[C]// XII Conference on Reconnaissance and Electronic Warfare Systems. 2019:110550D.

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    [9] [9] WANG M,LIN Y,TIAN Q,et al. Transfer learning promotes 6G wireless communications:recent advances and future challenges[J]. IEEE Transactions on Reliability, 2021(99):1-18.

    [11] [11] KUZDEBA S,ROBINSON J,CARMACK J. Transfer learning with radio frequency signals[C]// 2021 IEEE 18th Annual Consumer Communications & Networking Conference(CCNC). Las Vegas,NV,USA:IEEE, 2021:1-9.

    [12] [12] ZHA H,TIAN Q,LIN Y. Real-world ADS-B signal recognition based on Radio Frequency fingerprinting[C]// 2020 IEEE 28th International Conference on Network Protocols(ICNP). Madrid,Spain:IEEE, 2020:1-6.

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    WANG Meiyu, TIAN Qiao. Transfer learning for electromagnetic target recognition[J]. Journal of Terahertz Science and Electronic Information Technology , 2021, 19(4): 556

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    Paper Information

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    Received: May. 24, 2021

    Accepted: --

    Published Online: Sep. 17, 2021

    The Author Email: Meiyu WANG (hrbeu_meiyu@hrbeu.edu.cn)

    DOI:10.11805/tkyda2021214

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