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Space-Variant Filtering for Wavefront Curvature Correction in Polar Formatted Bistatic SAR Image

机译:极化格式化双基地SAR图像中波前曲率校正的空间变量滤波

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摘要

An analytical expression of the phase error from wavefront curvature in bistatic spotlight-mode synthetic aperture radar (SAR) image reconstructed via polar format algorithm (PFA) is derived in this paper. The wavefront curvature effect, which arises from the unrealistic planar wavefront assumption in bistatic PFA, induces phase error terms resulting in space-variant geometry distortion and defocusing. Based on the analytical expression of the wavefront curvature error, a space-variant filtering approach is applied to compensate for it in the polar formatted bistatic SAR image. Analysis on the scene size limit after using the correction method indicates that the derived space-variant filter is capable of extending the focused scene size of bistatic PFA considerably. Point target (PT) simulation validates the approach.
机译:本文推导了通过极性格式算法(PFA)重建的双基地聚光模式合成孔径雷达(SAR)图像中波前曲率的相位误差的解析表达式。波前曲率效应是由双基地PFA中不切实际的平面波前假设引起的,它会引起相位误差项,从而导致空间变化的几何形状失真和散焦。基于波前曲率误差的解析表达式,在极坐标格式的双基地SAR图像中采用了空间变量滤波方法对其进行补偿。对使用校正方法后的场景大小限制进行分析表明,导出的空间变量滤波器能够大大扩展双基地PFA的聚焦场景大小。点目标(PT)仿真验证了该方法。

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