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Stepped-Frequency Synthetic Aperture Radar Imaging via Polar Format Algorithm

机译:极性格式算法的步进频率合成孔径雷达成像

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Employing the stepped-frequency waveforms is an efficient way to improve the range resolution of synthetic aperture radar (SAR) retaining the benefits of low instantaneous bandwidth. A conventional stepped-frequency waveform used in high-resolution SAR is stepped-frequency chirp signal (SFCS). Range sidelobe suppression of SFCS can be improved if minor frequency overlap between pulses is introduced. Therefore, the need for SAR image formation algorithm applicable to processing overlapped SFCS arises. In this paper, polar format algorithm (PFA) implementation incorporating SFCS processing is presented. It is demonstrated that image formation procedure comprises 2-dimensional interpolation of a function sampled on a composite nonuniform grid, consisting of several overlapping subgrids. Algorithm imposes no restrictions on SAR trajectory and treats spatial-variant range migration between pulses on different carrier frequencies. Detailed analytical description is provided, as well as simulation results, verifying the effect of the algorithm.
机译:利用步进频率波形是提高合成孔径雷达(SAR)的距离分辨率的有效方法,同时又保留了低瞬时带宽的优点。高分辨率SAR中使用的常规步进频率波形是步进频率线性调频信号(SFCS)。如果在脉冲之间引入较小的频率重叠,则可以改善SFCS的范围旁瓣抑制。因此,产生了适用于处理重叠的SFCS的SAR图像形成算法的需求。本文提出了结合SFCS处理的极坐标格式算法(PFA)实现。证明了图像形成过程包括在复合不均匀网格上采样的函数的二维插值,该网格由几个重叠的子网格组成。该算法对SAR轨迹没有任何限制,并处理了不同载波频率上脉冲之间的空间变化范围迁移。提供了详细的分析说明以及仿真结果,验证了算法的效果。

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