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Range Resampling in the Polar Format Algorithm for Spotlight SAR Image Formation Using the Chirp $z$ -Transform

机译:使用the $ z $ -Transform的Polar格式聚光SAR图像形成中的距离重采样

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Besides an inverse two-dimensional (2-D) Fourier transform, the polar format algorithm (PFA) for the spotlight synthetic aperture radar (SAR) image formation can be normally divided into two cascaded processing stages, which are called the range and azimuth resampling, respectively. This paper focuses on a new implementation of the first stage, i.e., the range resampling, using the chirp z-transform (CZT). The presented algorithm requires no interpolation. It works for the SAR system directly digitizing the echo signal, as well as that employing the dechirp-on-receive approach. The parameters of the CZT, including the frequency spacing and the start frequency, are derived to accommodate the PFA in both cases. Related filtering and compensation procedures are developed for the chirp z-transformed range signal with and without dechirp, respectively, in order to achieve a signal format entirely suitable for the azimuth resampling. Furthermore, incorporating the new algorithm with the existing CZT-based azimuth resampling and focusing algorithm, we can achieve a PFA totally free of interpolation. The presented approach has been validated by point target simulation, and the test is carried out with a very critical relative bandwidth of 30%
机译:除了逆二维(2-D)傅里叶变换外,用于聚光合成孔径雷达(SAR)图像形成的极坐标格式算法(PFA)通常可以分为两个级联处理阶段,称为距离和方位重采样, 分别。本文着重于第一阶段的新实现,即使用线性调频z变换(CZT)进行距离重采样。提出的算法不需要插值。它适用于直接将回波信号数字化的SAR系统,也适用于采用去chirp-on-receive方法的系统。导出CZT的参数,包括频率间隔和起始频率,以适应两种情况下的PFA。针对分别具有和不具有去线性调频的线性调频z变换范围信号,开发了相关的滤波和补偿程序,以便获得完全适合于方位重采样的信号格式。此外,将新算法与现有的基于CZT的方位角重采样和聚焦算法相结合,可以实现完全没有插值的PFA。提出的方法已通过点目标仿真进行了验证,并且该测试在30%的非常关键的相对带宽下进行

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