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Fast Barycentric-Based Back Projection Algorithm for SAR Imaging

机译:基于重心的快速反投影SAR成像算法

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摘要

The paper presents a novel fast barycentric-based back projection (BP) algorithm for radar imaging using the synthetic aperture radar (SAR) technique. The innovation in the proposed method is in the determination of the reverse virtual synthetic aperture beam for each point of the observed radar scene and in classifying which portion of raw radar data must be considered to complete imaging processing. This approach allows the classical well-known BP algorithm to be significantly accelerated, which is one of the most computationally demanding methods in SAR imaging. The proposed barycentric-based BP method gives the opportunity to control the resolution of the processed image by changing the width of the calculated beam. Moreover, the described solution is still highly parallelizable such as the classical BP algorithm. The solution can be adapted to a real-time SAR system with modern high-end computational units such as graphical processor units (GPUs) that support parallel computing. In this paper, the BP algorithm is clearly described with its barycentric-based modification. The proposed method is compared with a classical BP algorithm based on the measurement of simulated and real data.
机译:本文提出了一种新的基于合成孔径雷达(SAR)技术的,基于重心快速反投影(BP)的雷达成像算法。所提出的方法的创新之处在于,确定了要观测的雷达场景每个点的反向虚拟合成孔径光束,并且对必须考虑要完成成像处理的原始雷达数据的哪部分进行分类。这种方法可以大大加速经典的著名BP算法,这是SAR成像中对计算要求最高的方法之一。所提出的基于重心的BP方法提供了通过更改计算光束的宽度来控制处理后图像分辨率的机会。而且,所描述的解决方案仍然是高度可并行化的,例如经典的BP算法。该解决方案可以适应具有现代高端计算单元(例如支持并行计算的图形处理器单元(GPU))的实时SAR系统。在本文中,使用基于重心的修改清楚地描述了BP算法。将该方法与基于模拟和真实数据测量的经典BP算法进行了比较。

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