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Architecture Design of FPGA-Based Wavefront Processor for Correlating Shack-Hartmann Sensor

机译:基于FPGA的Shack-Hartmann传感器波前处理器的体系结构设计

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During solar observation, atmosphere turbulence usually blur the solar image coming from solar telescope. In order to improve the quality of solar image, solar Adaptive Optical (AO) system is equipped. In a typical solar AO system, Correlating Shack-Hartmann (SH) wavefront sensor is used to detect the aberration of the blurred image. To detect the aberration as well as possible, frame rate of CCD working after the SH sensor must be fast enough to keep pace with the variation of turbulence. CCD with 1000 Hz frame rate is very common in solar adaptive optical system. What's more, next generation telescope is so large that resolution of CCD becomes higher and higher. So it requires the wavefront processor a huge amount of processing power. As FPGA (Field Programmable Gate Array) technology becomes more powerful, they can provide amazing processing ability by high speed and parallel processing. This paper gives out a design of FPGA-based wavefront processor in solar adaptive optical system. It is characterized by pipeline and parallel architecture. The peak operation speed is over 86G/s and calculation latency is 7.04 us in a system with 16 × 16 sub-aperture array, which is 16 × 16 pixel in size each and for which the reference image is 8 × 8 pixel. Using this processor, frame rate of the CCD can be up to 8800 fps. Built in a single FPGA, it is low-cost, compact and easy to be upgraded.
机译:在太阳观测期间,大气湍流通常会使来自太阳望远镜的太阳图像模糊。为了提高太阳图像的质量,配备了太阳自适应光学(AO)系统。在典型的太阳能AO系统中,Correlation Shack-Hartmann(SH)波前传感器用于检测模糊图像的像差。为了尽可能地检测像差,SH传感器之后工作的CCD的帧频必须足够快,以跟上湍流的变化。在太阳能自适应光学系统中,具有1000 Hz帧频的CCD非常普遍。而且,下一代望远镜是如此之大,以至于CCD的分辨率越来越高。因此,它需要波前处理器大量的处理能力。随着FPGA(现场可编程门阵列)技术变得越来越强大,它们可以通过高速和并行处理提供惊人的处理能力。本文提出了一种在太阳能自适应光学系统中基于FPGA的波前处理器的设计方案。它的特点是流水线和并行架构。在具有16×16子孔径阵列的系统中,其峰值操作速度超过86G / s,计算延迟为7.04 us,每个子孔径阵列的大小为16×16像素,并且参考图像为8×8像素。使用此处理器,CCD的帧速率可以高达8800 fps。它内置在单个FPGA中,价格低廉,结构紧凑且易于升级。

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