复杂电磁环境下无人机作战效能建模与仿真验证

Modeling the impact of complex electromagnetic environments on UAV combat effectiveness

  • 摘要: 为分析复杂电磁环境对无人机作战效能的影响,建立“复杂度特征-子系统性能-作战能力”三层评估体系。首先区分电磁环境的复杂度特征为时间占用度、频谱占用度、空间占用度及信号密度,并采用层次分析法确定特征权重,其次分解出通信可靠性、导航精度等7项无人机子系统性能指标与任务能力、生存能力、响应能力及抗干扰能力4项作战能力,并建立三者的耦合关系模型,然后通过归一化处理与敏感系数聚合推导出作战效能量化公式,表明电磁复杂度与无人机作战效能呈显著负相关,最后基于MATLAB软件构建复杂电磁战场环境,对不同电磁环境下无人机的作战效能进行仿真,进一步论证结果,并证明相同电磁环境下抗干扰能力强的无人机作战效能更优秀。

     

    Abstract:
    Background
    Modern battlefields are increasingly characterized by complex electromagnetic environments (EME), posing significant challenges to unmanned aerial vehicle (UAV) operational effectiveness.
    Purpose
    To address this issue, this study aims to quantitatively evaluate how complex EME affects UAV operational effectiveness using a multi-level framework, incorporating defined key metrics including anti-jamming capability verification.
    Methods
    A three-tier evaluation model was developed, incorporating EME complexity, subsystem performance, and operational capabilities. EME complexity was characterized by four metrics weighted via AHP. Critical subsystem indicators—such as communication reliability and navigation accuracy—and operational capabilities like mission execution and anti-jamming performance were causally mapped within an environment-effectiveness mapping. This mapping enabled the model to be normalized and integrated using sensitivity coefficients, and stochastic jamming scenarios were simulated in MATLAB to validate the approach.
    Results
    The results demonstrated a distinct negative exponential relationship between EME complexity and operational effectiveness. Performance declined progressively with intensified EME, but notably, UAVs equipped with advanced anti-jamming systems maintained higher effectiveness under identical conditions.
    Conclusions
    This study confirms the critical importance of anti-jamming technologies in preserving UAV combat capability in complex EME; the proposed evaluation framework offers practical insights for developing robust UAV systems suited to contested electromagnetic spectra.

     

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