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Generalized rectification in the L1-norm with application to robust array processing

机译:L 1 -范数中的广义校正及其在鲁棒阵列处理中的应用

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摘要

We present in this paper a multiple linear regression scheme in the L-norm which operates on the array output covariance matrix. The proposed method rectifies the covariance matrix by exploiting the structural properties resulting from the array geometry. In the case of a defective sensor, it is able to fully restore the covariance which would be observed if all sensors were working correctly. Simulations in Direction Of Arrival estimation with a uniform circular array demonstrate the interest of this L approach compared to conventional L techniques.
机译:我们在本文中提出了在L范数上的多元线性回归方案,该方案对数组输出协方差矩阵进行操作。所提出的方法通过利用由阵列几何形状产生的结构特性来校正协方差矩阵。如果传感器出现故障,它可以完全恢复协方差,如果所有传感器都正常工作,则可以观察到该协方差。与常规L技术相比,使用均匀圆形阵列的到达方向估计的仿真证明了这种L方法的重要性。

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