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中文核心期刊

使用子阵自适应波束形成的近场强干扰抑制

Near-field interference suppression using subarray-based adaptive beamforming

  • 摘要: 针对低频远距离水声无源探测中大孔径阵列的快拍数不足问题, 提出了通过子阵划分与分级处理策略, 首先对子阵进行常规波束形成, 再对子阵输出信号实施自适应处理, 显著降低了空间相关矩阵估计对快拍数的要求。理论分析表明, 该方法通过球面波等信号失配机制主动抑制近场强干扰, 同时结合白噪声增益约束平衡干扰抑制与期望信号保护的矛盾。实际海试数据验证了该方法的有效性, 当白噪声增益设为−3 dB以下, 快拍数为1~3倍子阵数时, 128基元阵列可完全抑制信噪比达30 dB的近场强干扰, 并突出被强干扰及其旁瓣泄漏能量遮蔽的弱目标。

     

    Abstract: To address the snapshot deficiency in large-aperture arrays for low-frequency long-range passive underwater detection, this study proposes a hierarchical processing architecture that alleviates effectively the performance degradation due to snapshot-deficiency of spatial correlation matrix estimation. The proposed method first forms directional conventional beams using compact subarrays and then adaptively combines the subarray outputs. Theoretical analysis reveals that spherical-wave signal mismatch mechanisms are leveraged to suppress near-field strong interference, with white noise gain (WNG) constraints ensuring dynamic balance between interference mitigation and desired signal preservation. Experimental validation using sea-trial data demonstrates that a 128-element array can completely suppress a 30 dB near-field interference with WNG set below −3 dB and 1−3 snapshots per subarray, and reveal obscured and sidelobe-masked weak targets.

     

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