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Application of fast factorized back-projection algorithm for high-resolution highly squinted airborne SAR imaging

应用快速分解后向投影算法对机载大斜视SAR成像处理

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Abstract

In squinted synthetic aperture radar (SAR) imaging, the range-azimuth coupling requires precise range cell migration correction (RCMC). Moreover, for high-resolution airborne SAR, motion compensation (MOCO) becomes complicated as the squint angle increases, thereby degrading the performance of Doppler-domain imaging algorithms. On the other hand, time-domain back-projection (BP) SAR imaging approaches are considered as optimal solutions to performing precise image focusing and MOCO. Among current BP algorithms, the fast factorized back-projection (FFBP) algorithm is one of the most essential representatives that achieve high-resolution images in an efficient manner. In this paper, the principle and applications of the FFBP algorithm are investigated through the derivation of the azimuth impulse response function (AIRF) of the resulting image. The phenomenon of spectrum displacement induced by motion errors in the BP image is presented and analyzed. Based on rigorous mathematical derivations, a modified FFBP algorithm is proposed to facilitate a seamless integration with motion compensation and accurate imagery of high-resolution highly squinted airborne SAR. Real data results confirm the effectiveness of the proposed approaches.

摘要

创新点

创新点:本文结合机载大斜视SAR成像背景,通过后向投影积分的方位脉冲响应函数对FFBP算法处理进行了分析,指出了存在运动误差时,FFBP子孔径成像融合中存在的频率偏移现象,并针对此提出了改进FFBP算法,实现精确无模糊成像,实测高分辨率大斜视机载SAR数据实验验证了本文提出的改进FFBP算法。

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Acknowledgments

This work was supported by National Natural Science Foundation of China (Grant Nos. 61301280, 61301293). The authors would like to thank the anonymous reviewers for their valuable comments to improve the paper quality.

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Authors and Affiliations

  1. National Laboratory of Radar Signal Processing, Xidian University, Xi’an, 710071, China

    Lei Zhang, Haolin Li, Zhiwei Xu & Hongxian Wang

  2. Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi’an, 710071, China

    Lei Zhang, Zhiwei Xu & Hongxian Wang

  3. Beijing Institute of Electronic System Engineering, Beijing, 100854, China

    Haolin Li

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  1. Lei Zhang
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Correspondence to Lei Zhang.

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Zhang, L., Li, H., Xu, Z. et al. Application of fast factorized back-projection algorithm for high-resolution highly squinted airborne SAR imaging. Sci. China Inf. Sci. 60, 062301 (2017). https://doi.org/10.1007/s11432-015-0927-3

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  • DOI: https://doi.org/10.1007/s11432-015-0927-3

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