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首页> 外文期刊>Radar, Sonar & Navigation, IET >Polar format algorithm based on fast Gaussian grid non-uniform fast fourier transform for spotlight synthetic aperture radar imaging
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Polar format algorithm based on fast Gaussian grid non-uniform fast fourier transform for spotlight synthetic aperture radar imaging

机译：基于快速高斯网格非均匀快速傅立叶变换的极坐标格式聚光合成孔径雷达成像

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摘要

Conventional polar format algorithm (PFA) and its variations normally assume an ideal imaging geometry of a linear flight path, which cannot counteract the non-uniformity of samples existing in the circumstance of a highly non-linear aperture. This scenario may occur because of various factors such as rugged topography, atmospheric turbulence and intended manoeuvres. To address this challenge, this study develops a novel PFA with aperture accommodation for spotlight synthetic aperture radar (SAR) imaging. The proposed algorithm provides a new adaption of the fast Gaussian grid (FGG) non-uniform fast Fourier transform (NUFFT) scheme to two-dimensional (2D) SAR imaging of 3D scene, whose main idea is to convolve the nonuniform samples onto a uniform grid with a Gaussian kernel and then exploit the efficient 2D FFT for image reconstruction. In virtue of the 2D FGG NUFFT, a favourable tradeoff between reconstruction precision and computational efficiency is gained. Simulations illustrate the superiority of the proposed algorithm over the conventional non-uniform Sinc interpolation method. Also, the public real Gotcha dataset validates the effectiveness of the authors method.
机译：常规的极坐标格式算法（PFA）及其变体通常假定线性飞行路径具有理想的成像几何形状，这不能抵消存在于高度非线性孔径情况下的样本的不均匀性。由于各种因素，例如崎的地形，大气湍流和预期的动作，可能会发生这种情况。为了解决这一挑战，本研究开发了一种新型的具有孔径调节功能的PFA，用于聚光合成孔径雷达（SAR）成像。所提算法为快速高斯网格（FGG）非均匀快速傅立叶变换（NUFFT）方案提供了一种新的适应方法，用于3D场景的二维（2D）SAR成像，其主要思想是将非均匀样本卷积为均匀网格与高斯核，然后利用有效的2D FFT进行图像重建。借助2D FGG NUFFT，可以在重构精度和计算效率之间取得良好的折衷。仿真表明，该算法优于常规的非均匀Sinc插值方法。此外，公开的真实Gotcha数据集验证了作者方法的有效性。

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