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A NOVEL SAR IMAGING PROCESSING METHOD BASED ON FRACTIONAL FOURIER TRANSFORM

机译:一种基于分数傅里叶变换的新型SAR成像处理方法

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The fractional Fourier transform (FRFT) is a potent tool to analyze the chirp signal. Here a novel SAR imaging technique based on FRFT is studied. We apply FRFT to range compressed data instead of executing RCMC and Azimuth compression. By FRFT, we estimate 1) Doppler rate, 2) amplitude 3) azimuth beam center crossing time which means azimuth location of a point target in image in accurate way. The relative range locations of point targets can be also determined by the formulation of Doppler rate. Then SAR image can be reconstructed together with estimated amplitudes. The relationship between FRFT order and SAR resolution is also studied. Furthermore, we simulate this method from a multi-points view.
机译:分数傅里叶变换(FRFT)是分析啁啾信号的有效工具。这里研究了一种基于FRFT的新型SAR成像技术。我们将FRFT应用于范围压缩数据,而不是执行RCMC和方位角压缩。通过FRFT,我们估计1)多普勒率,2)幅度3)方位梁光束中心交叉时间,其意味着以准确的方式在图像中的点目标的方位点位置。点靶的相对范围位置也可以通过多普勒率的制剂来确定。然后可以将SAR图像与估计的幅度一起重建。还研究了FRFT订单与SAR分辨率之间的关系。此外,我们从多点视图模拟此方法。

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