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A Fast SAR Imaging Method for Ground Moving Target Using a Second-Order WVD Transform

机译:基于二阶WVD变换的地动目标快速SAR成像方法

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In synthetic aperture radar (SAR) imaging of a ground moving target, long-time coherent integration may effectively improve the imaging quality, whereas the imaging performance may severely degrade due to the range migration and the Doppler frequency migration. In this paper, a novel motion parameter estimation method named second-order Wigner–Ville distribution (SoWVD) transform is proposed, and then, a new SAR imaging method based on the SoWVD for a ground moving target is developed. As a modified Wigner–Ville distribution method, the SoWVD method can estimate the motion parameter without the search procedure, which achieves motion parameter estimation by Fourier transform operations in the 2-D frequency plane with respect to the slow time and the delay time. In addition, it can effectively recognize the cross terms based on multiple symmetrical properties of the peaks in the 2-D frequency domain. Both simulated and real data processing results are presented to validate the proposed imaging method.
机译:在地面移动目标的合成孔径雷达(SAR)成像中,长时间相干积分可以有效提高成像质量,而由于距离偏移和多普勒频率偏移,成像性能可能会严重下降。提出了一种新颖的运动参数估计方法,称为二阶Wigner-Ville分布(SoWVD)变换,然后,提出了一种基于SoWVD的地面运动目标SAR成像新方法。作为改进的Wigner-Ville分布方法,SoWVD方法无需搜索过程即可估计运动参数,从而通过二维频率平面中的傅立叶变换操作针对慢速时间和延迟时间实现了运动参数估计。另外,它可以基于二维频域中峰的多个对称特性有效地识别交叉项。模拟和真实数据处理结果都被提出来验证所提出的成像方法。

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