基于坐标变换的大斜视SAR波数域成像算法
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南京航空航天大学

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Coordinate Transformation Based Wavenumber Domain Algorithm for High Squint SAR Imaging
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Nanjing University of Aeronautics Astronautics

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    摘要:

    波数域成像算法(Wavenumber Domain Algorithm, WDA)采用了精确的信号形式和距离徙动校正方法,在合成孔径雷达(Synthetic Aperture Radar, SAR) 斜视数据处理中具有精度高等优势。然而,在大斜视情况下,传统WDA不能充分利用倾斜的二维频谱支撑域,导致目标聚焦效果差。本文提出了一种全新基于坐标变换的大斜视SAR波数域成像算法。该算法首先将SAR回波数据变换到二维频域,通过参考函数相乘(Reference Function Multiply, RFM)完成对数据的一致压缩;然后,基于坐标变换原理将倾斜的频谱转化为正侧视频谱实现频谱的高利用;最后,构建改进的Stolt插值因子,完成补余压缩。与传统波数域算法相比,所提方法不仅有效校正了倾斜的频谱支撑域,保证了成像质量,且其重构的点目标脉冲响应函数(Impulse Response Function, IRF)的距离向和方位向剖面正交,便于分辨率的计算与剖面的精确提取。通过对多组仿真和实测实验结果分析,证明了本文方法的有效性和优越性。

    Abstract:

    Because of Wavenumber Domain Algorithm (WDA) using a more accurate signal form and range cell migration correction technology, it shows high accuracy in squint Synthetic Aperture Radar (SAR) data processing. However, the conventional WDA cannot fully utilize the complete Two-Dimensional (2-D) spectrum support region under high-squint condition, resulting in poor target focusing effect. In this paper, we propose a novel coordinate transformation-based WDA for high-squint SAR imaging. In the proposed method, the squint SAR echo is firstly transformed into the 2-D frequency domain, and the “uniform compression” of the entire data is completed by multiplying the reference function. Then, based on the principle of coordinate transformation, the tilted spectrum is converted into a rectangular form. Finally, residual focusing is achieved by a modified Stolt interpolation. Compared with traditional WDA, the proposed algorithm corrects the inclined spectral support region and ensures the imaging quality. In addition, the range and azimuth profiles of its point target impulse response function (IRF) are orthogonal, which facilitates the calculation of resolution and the extraction of profiles. Experimental results based on simulated and real data validate the proposed method.

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  • 收稿日期:2025-03-17
  • 最后修改日期:2025-06-12
  • 录用日期:2025-07-16
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