基于空时极多域盲源分离的抗主瓣复合干扰方法

    Mainlobe Composite Jamming Suppression Method Based on Space-time-polarization Multi-domain Blind Source Separation

    • 摘要: 针对雷达主瓣有源复合干扰这一电子对抗领域面临的迫切问题,提出了一种基于空时极多域盲源分离的抗主瓣复合干扰方法。首先,该方法通过构建空域—时域—极化域联合接收信号模型,同时利用了目标和干扰在空时极三个维度中的差异性:空域维度通过极化敏感阵列获取信号方向信息,利用阵列几何结构区分目标和干扰的波达方向;时域维度利用了相邻脉冲重复间隔信号的幅度、相位差异;极化域维度借助正交偶极子天线提取目标和干扰的极化散射特性差异。然后,该方法采用特征矩阵联合近似对角化盲源分离算法将目标和干扰分离在不同通道中。最终,通过匹配滤波处理找到目标回波。仿真实验表明,该方法对于自卫式密集假目标干扰与支援式压制干扰构成的复合干扰具有良好的抑制效果,并且输出信干噪比、相似系数等性能优于现有的基于盲分离的抗干扰方法。

       

      Abstract: To address the urgent challenges of radar mainlobe active composite jamming in electronic countermeasures, a method for anti-mainlobe composite jamming based on space-time-polarization multi-domain blind source separation is proposed. First, a joint space-time-polarization receiving signal model is constructed to exploit the differences between target and jamming in three dimensions: In the spatial domain, a polarization sensitive array is utilized to capture directional information of signals and distinguish the direction of arrival between target and jamming through array geometry; in the temporal domain, amplitude and phase differences of signals between adjacent pulse repetition intervals are leveraged; in the polarization domain, orthogonal dipole antennas are employed to extract polarization scattering characteristic differences between target and jamming. Then, the joint approximate diagonalization of eigen-matrices blind source separation algorithm is adopted to separate target and jamming into distinct channels. Finally, target echoes are identified through matched filtering. Simulation results demonstrate that the proposed method effectively suppresses composite jamming composed of self-protection dense false-target jamming and escort blanketing jamming, with superior performances in output signal-to-interference-plus-noise ratio and similarity coefficients compared to the existing blind source separation-based anti-mainlobe jamming methods.

       

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