Moving Target Imaging via TR-SOKT for SAR With Maneuvering Trajectory

IF 4.4
Yifan Wang;Shiyang Tang;Chenghao Jiang;Linrang Zhang;Jiahao Han;Zixuan He;Daobao Xu;Hongmeng Chen;Zhanye Chen
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Abstract

Maneuvers not only provide flexibility for synthetic aperture radar ground moving target imaging (SAR-GMTIm), but also means more complex echo characteristics, especially in high-resolution situations. This letter systematically analyzes and establishes an imaging model for SAR-GMTIm with maneuvering trajectory, revealing the high-order range cell migration, Doppler centroid ambiguity, and other issues. Based on above issues, an imaging method based on time reversal-second-order keystone transform (TR-SOKT) is proposed, which first corrects range walk migration (RWM) through time reversal (TR), then range curve migration (RCM) is corrected by SOKT, and azimuth residual phase is estimated and compensated by high-order ambiguity function (HAF). The proposed method is not affected by Doppler centroid ambiguity, making it suitable for target with various velocities. Additionally, parameter search is not performed during migration correction, resulting in low computational burden. The performance of the proposed method is verified by simulation and real data experiments.
基于TR-SOKT的机动弹道SAR运动目标成像
机动不仅为合成孔径雷达地面运动目标成像(SAR-GMTIm)提供了灵活性,而且还意味着更复杂的回波特性,特别是在高分辨率情况下。本文系统分析并建立了具有机动弹道的SAR-GMTIm成像模型,揭示了高阶距离单元迁移、多普勒质心模糊等问题。针对上述问题,提出了一种基于时间反转-二阶梯形变换(TR-SOKT)的成像方法,该方法首先通过时间反转(TR)对距离行走偏移(RWM)进行校正,然后通过SOKT对距离曲线偏移(RCM)进行校正,最后利用高阶模糊函数(HAF)估计和补偿方位残差相位。该方法不受多普勒质心模糊的影响,适用于不同速度的目标。此外,在迁移校正过程中不进行参数搜索,计算负担低。通过仿真和实际数据实验验证了该方法的有效性。
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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