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Robust adaptive beamforming for fast moving interference based on the covariance matrix reconstruction

机译：基于协方差矩阵重建的快速移动干扰强大的自适应波束成形

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摘要

Adaptive beamforming methods are sensitive to underlying assumptions on the environment, sources, or sensor array violation, especially when interferences are moving fast. In this study, the non-stationary interference source is estimated during the period in which snapshots are taken. Then, a new interference-plus-noise covariance matrix reconstruction is introduced which is derived from a simplified power spectral density function that can be used to shape the directional response of the beamformer. Finally, the beamformer is designed to impose nulls towards the regions of the moving interference based on the reconstructed covariance matrix. The essence of the proposed method is to express the inverse of the reconstructed covariance matrix which needs less computational complexity calculation. The effectiveness of the proposed method is demonstrated by numerical results.
机译：自适应波束成形方法对环境，源或传感器阵列违规的基础假设敏感，特别是当干扰快速移动时。在本研究中，在拍摄快照的时段期间估计非静止干扰源。然后，引入新的干扰和噪声协方差矩阵重建，其源自可用于塑造波束形成器的方向响应的简化功率谱密度函数。最后，光束形成器旨在基于重建的协方差矩阵对移动干扰的区域施加无效。所提出的方法的本质是表示需要较少计算复杂性计算的重建协方差矩阵的倒数。通过数值结果证明了所提出的方法的有效性。

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