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引用次数: 21
摘要
灵活的SAR平台，如汽车，需要一个灵活的SAR处理方案，以考虑非线性传感器的轨迹在合成孔径。在这篇文章中，提出了一种基于NVIDIA CUDA GPU计算框架的时域反投影SAR聚焦算法的并行实现，并使用车载SAR数据集进行了讨论。使用不同的硬件评估处理性能。此外，本文还描述了一种预处理方案，该方案允许进行全3d运动补偿，同时方便地保持传统的单视复杂SAR图像的倾斜范围/方位几何形状。
GPU-based parallelized time-domain back-projection processing for Agile SAR platforms
Agile SAR platforms such as an automobile require a flexible SAR processing scheme to account for nonlinear sensor trajectories during the synthetic aperture. In this contribution, a parallelized implementation of a time-domain back-projection SAR focusing algorithm based on NVIDIA's CUDA GPU computing framework is presented and discussed using a car-borne SAR data set. The processing performance is assessed using different hardware. In addition, a pre-processing scheme is described that allows for full 3-D motion compensation, yet staying conveniently in conventional slant-range/azimuth geometry of single-look complex SAR images.
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