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Array-error estimation method for multi-channel SAR systems in azimuth

机译:方位多通道SAR系统的阵列误差估计方法

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摘要

For multi-channel synthetic aperture radar (SAR) systems, since the minimum antenna area constraint is eliminated, wide swath and high resolution SAR image can be achieved. However, the unavoidable array errors, consisting of channel gain-phase mismatch and position uncertainty, significantly degrade the performance of such systems. An iteration-free method is proposed to simultaneously estimate position and gain-phase errors. In our research, the steering vectors corresponding to a pair of Doppler bins within the same range bin are studied in terms of their rotational relationships. The method is based on the fact that the rotational matrix only depends on the position errors and the frequency spacing between the paired Doppler bins but is independent of gain-phase error. Upon combining the projection matrices corresponding to the paired Doppler bins, the position errors are directly obtained in terms of extracting the rotational matrix in a least squares framework. The proposed method, when used in conjunction with the self-calibration algorithm, performs stably as well as has less computational load, compared with the conventional methods. Simulations reveal that the proposed method behaves better than the conventional methods even when the signal-to-noise ratio (SNR) is low.
机译:对于多通道合成孔径雷达(SAR)系统,由于消除了最小天线面积限制,因此可以实现宽幅和高分辨率SAR图像。但是,不可避免的阵列误差(包括通道增益相位失配和位置不确定性)会严重降低此类系统的性能。提出了一种无迭代的方法来同时估计位置和增益相位误差。在我们的研究中,根据它们的旋转关系研究了与同一距离仓内的一对多普勒仓相对应的操纵向量。该方法基于以下事实:旋转矩阵仅取决于位置误差和成对的多普勒频点之间的频率间隔,而与增益相位误差无关。在组合对应于成对的多普勒箱的投影矩阵时,就在最小二乘框架中提取旋转矩阵方面直接获得位置误差。与常规方法相比,该方法与自校准算法结合使用时,性能稳定且计算量较小。仿真表明,即使信噪比(SNR)低,该方法的性能也比传统方法好。

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