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Robust Adaptive Multichannel SAR Processing Based on Covariance Matrix Reconstruction

机译:基于协方差矩阵重构的鲁棒自适应多通道SAR处理

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With the combination of digital beamforming (DBF) processing, multichannel synthetic aperture radar(SAR) systems in azimuth promise well in high-resolution and wide-swath imaging, whereas conventional processing methods don't take the nonuniformity of scattering coefficient into consideration. This paper brings up a robust adaptive Multichannel SAR processing method which utilizes the Capon spatial spectrum estimator to obtain the spatial spectrum distribution over all ambiguous directions first, and then the interference-plus-noise covariance Matrix is reconstructed based on definition to acquire the Multichannel SAR processing filter. The performance of processing under nonuniform scattering coefficient is promoted by this novel method and it is robust again array errors. The experiments with real measured data demonstrate the effectiveness and robustness of the proposed method.
机译:与数字波束成形(DBF)处理相结合,方位角上的多通道合成孔径雷达(SAR)系统在高分辨率和宽幅成像中前景很好,而常规处理方法并未考虑散射系数的不均匀性。本文提出了一种鲁棒的自适应多通道SAR处理方法,该方法利用Capon空间谱估计器获取所有歧义方向的空间谱分布,然后根据定义重建干扰加噪声协方差矩阵,得到多通道SAR。处理过滤器。这种新颖的方法提高了在非均匀散射系数下的处理性能,并且再次具有鲁棒性的阵列误差。实际测量数据的实验证明了该方法的有效性和鲁棒性。

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