When evaluating the effectiveness of radar antijamming techniques, the limited sample size poses a challenge. To overcome this limitation, this article proposes a signal-to-interference ratio fusion (SIRF) model that integrates multistage data. The SIRF model is based on the relationship between the signal-to-interference ratio and radar target range, considering three fluctuation models for radar cross section: Swerling I-II, Swerling III-IV, and Rayleigh. By employing the Bayesian theory and the antientropy weight method, the SIRF model enables the fusion of data collected from various stages, including mathematical simulations, hardware-in-the-loop tests, and field tests. Numerical results demonstrate that the proposed SIRF model exhibits superior consistency and robustness compared to the conventional fusion model based on the beta distribution.


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    Titel :

    A Bayesian Multistage Fusion Model for Radar Antijamming Performance Evaluation


    Beteiligte:
    Zhao, Linqi (Autor:in) / Yan, Liang (Autor:in) / Duan, Xiaojun (Autor:in) / Wang, Zhengming (Autor:in)


    Erscheinungsdatum :

    01.02.2024


    Format / Umfang :

    2926464 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch







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