Cartesian based FFBP algorithm for circular SAR using NUFFT interpolation

2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) Pub Date : 2019-11-01 DOI:10.1109/APSAR46974.2019.9048561

Zhenyu Guo, Hongbo Zhang, Shaohua Ye

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引用次数: 1

Abstract

Circular SAR is able to achieve omni-directional observation and high-resolution imaging of targets. However, the traditional frequency-domain based imaging algorithm is not suitable for complicated curve trajectory. Moreover the time domain based back-projection (BP) algorithm is applicable but time consuming. Fast factorized back-projection (FFBP) algorithm based on aperture decomposition and image fusion can balance computational efficiency and accuracy. In this paper, we proposed a modified FFBP algorithm for circular SAR imaging. The principal improvement is the usage of Cartesian coordinate imaging and nonuniform fast Fourier transform (NUFFT) interpolation. First, sub-aperture BP imaging is implemented on local Cartesian coordinate system. Then azimuth bandwidth is compressed with a spatial variant phase function to reduce the sampling rate. Next the NUFFT interpolation method is applied during sub-images fusion to further improve the efficiency of the algorithm. Finally, through simulation and real data experiments, the correctness and accuracy of the algorithm is verified.

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基于NUFFT插值的圆形SAR的FFBP算法

圆形SAR能够实现对目标的全方位观测和高分辨率成像。然而，传统的基于频域的成像算法并不适用于复杂的曲线轨迹。此外，基于时域的反投影(BP)算法适用，但耗时较长。基于孔径分解和图像融合的快速分解反投影(FFBP)算法可以平衡计算效率和精度。本文提出了一种改进的FFBP算法用于圆形SAR成像。主要的改进是使用了笛卡尔坐标成像和非均匀快速傅里叶变换(NUFFT)插值。首先，在局部笛卡尔坐标系下实现子孔径BP成像;然后用空间变相位函数压缩方位角带宽，降低采样率。然后在子图像融合过程中应用NUFFT插值方法，进一步提高算法的效率。最后，通过仿真和实际数据实验，验证了算法的正确性和准确性。

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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来源期刊

2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)

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