An free of iteration array-error estimation method for multi-channel SAR systems*

Lun Ma
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Abstract

This paper considers the problem of estimating gain-phase and position errors for multi-channel synthetic aperture radar (SAR) systems. In multi-channel SAR systems, the clutter spectrum components within a Doppler bin can be used as calibration sources with known directions. Conventional eigen-structure methods, which iterates alternatively between the self-calibration method for gain-phase error estimation and the least squares method for estimating position errors, may converge to a local optimal solution. In this paper, it is observed that the steering vectors corresponding to a pair of Doppler bins within the same range bin have a rotational relationship. We obtain a new array-error estimation method based on this observation. The method, which obtain the position errors in terms of extracting the rotational matrix in a least square's framework, is proposed via combining the projection matrices corresponding to the paired Doppler bins. The validity of the proposed method is verified by the experimental results of measured four-channel SAR data.
多通道SAR系统的无迭代阵列误差估计方法*
研究了多通道合成孔径雷达系统的增益相位和位置误差估计问题。在多通道SAR系统中,多普勒波束内的杂波分量可以作为已知方向的定标源。传统的特征结构方法在增益相位误差估计的自校准方法和位置误差估计的最小二乘法之间交替迭代,可能收敛到局部最优解。本文观察到,同一距离内一对多普勒箱对应的转向矢量具有旋转关系。在此基础上,我们得到了一种新的阵列误差估计方法。该方法通过组合成对多普勒箱对应的投影矩阵,在最小二乘框架下提取旋转矩阵来获取位置误差。四通道SAR实测数据的实验结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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