论文标题
使用NVIDIA-RTX技术进行硬件加速SAR模拟
Hardware-Accelerated SAR Simulation with NVIDIA-RTX Technology
论文作者
论文摘要
Synthetic Aperture Radar (SAR) is a critical sensing technology that is notably independent of the sensor-to-target distance and has numerous cross-cutting applications, e.g., target recognition, mapping, surveillance, oceanography, geology, forestry (biomass, deforestation), disaster monitoring (volcano eruptions, oil spills, flooding), and infrastructure tracking (urban growth, structure mapping). SAR使用高功率天线来照亮具有电磁辐射的目标位置，例如10GHz无线电波，并且通过天线来感测，然后将其照明表面反向散射，然后将其用于生成结构的图像。真正的SAR数据很难生产，并且对于研究而言，缺乏可靠的源基础真相。本文提出了一个开源SAR Simulator，以使用NVIDIA的RTX Graphics Cards系列在商业上提供新近可用的射线追踪硬件来计算任意3D场景的阶段历史。 NVIDIA GPU的Optix GPU射线追踪库用于以前所未有的计算速度计算SAR相历史。模拟结果针对现有的SAR仿真代码进行了验证，以示出点射点目标的SAR照明。这种方法的计算性能提供了比CPU模拟的数量级速度升高。当在RTX GPU上运行模拟时，GPU加速度的额外数量级，其中包括专门用于加速Optix射线跟踪的硬件。本文介绍了Optix模拟器结构，处理框架和计算，这些结构可在大规模并行的GPU计算设备上执行。讨论了Optix库限制对单个精度浮点表示的缺点，并提出了敏感计算的修改以减少截断误差，从而在此约束下提高了模拟精度。
Synthetic Aperture Radar (SAR) is a critical sensing technology that is notably independent of the sensor-to-target distance and has numerous cross-cutting applications, e.g., target recognition, mapping, surveillance, oceanography, geology, forestry (biomass, deforestation), disaster monitoring (volcano eruptions, oil spills, flooding), and infrastructure tracking (urban growth, structure mapping). SAR uses a high-power antenna to illuminate target locations with electromagnetic radiation, e.g., 10GHz radio waves, and illuminated surface backscatter is sensed by the antenna which is then used to generate images of structures. Real SAR data is difficult and costly to produce and, for research, lacks a reliable source ground truth. This article proposes a open source SAR simulator to compute phase histories for arbitrary 3D scenes using newly available ray-tracing hardware made available commercially through the NVIDIA's RTX graphics cards series. The OptiX GPU ray tracing library for NVIDIA GPUs is used to calculate SAR phase histories at unprecedented computational speeds. The simulation results are validated against existing SAR simulation code for spotlight SAR illumination of point targets. The computational performance of this approach provides orders of magnitude speed increases over CPU simulation. An additional order of magnitude of GPU acceleration when simulations are run on RTX GPUs which include hardware specifically to accelerate OptiX ray tracing. The article describes the OptiX simulator structure, processing framework and calculations that afford execution on massively parallel GPU computation device. The shortcoming of the OptiX library's restriction to single precision float representation is discussed and modifications of sensitive calculations are proposed to reduce truncation error thereby increasing the simulation accuracy under this constraint.
