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An Accurate High Resolution ISAR Image Reconstruction Method Based on 2-D Nonuniform Fast Fourier Transform

机译:基于二维非均匀快速傅里叶变换的高精度高分辨率ISAR图像重建方法

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We present a new method to reconstruct high resolution inverse synthetic aperture radar (ISAR) images'. When the far-field data arranged in the polar format, the two-dimensional (2-D) image can be reconstructed by a 2-D Fourier transform directly. But the fast Fourier transform (FFT) is failed for the data do not falling on a Cartesian grid. We introduce the 2-D nonuniform fast Fourier transform (NUFFT) to reconstruct the ISAR image. It is the first time to use NUFFT technology to achieve ISAR imaging. Instead of interpolating the input data, NUFFT interpolate the exponential function for each sampling point. The technology could easily extend to high dimensional by tensor product. The 2-D NUFFT is very suitable to reconstruct ISAR image. An example will be shown to demonstrate that the reconstructed images have higher resolution than the general method when using the same data.
机译:我们提出了一种新的方法来重建高分辨率逆合成孔径雷达(ISAR)图像。当远场数据以极坐标格式排列时,可以直接通过2-D傅里叶变换来重建二维(2-D)图像。但是,由于数据没有落在笛卡尔网格上,因此快速傅里叶变换(FFT)失败了。我们介绍了二维非均匀快速傅立叶变换(NUFFT)以重建ISAR图像。这是首次使用NUFFT技术实现ISAR成像。 NUFFT不会对输入数据进行插值,而是对每个采样点插值指数函数。该技术可以通过张量积轻松地扩展到高维。二维NUFFT非常适合重建ISAR图像。将显示一个示例,以说明在使用相同数据时,重建图像具有比常规方法更高的分辨率。

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