激光与光电子学进展, 2019, 56 (7): 070101, 网络出版: 2019-07-30   

无波前传感自适应波前校正系统的图形处理器加速 下载: 1086次

GPU Acceleration in Wave-Front Sensorless Adaptive Wave-Front Correction System
作者单位
西安理工大学自动化与信息工程学院, 陕西 西安 710048
摘要
基于随机并行梯度下降(SPGD)算法的无波前传感自适应波前校正系统的收敛速度较慢,很难满足无线光相干通信系统对实时性的要求。介绍了SPGD算法的并行化处理,利用图形处理器(GPU)并行计算提高校正系统的收敛速度。选用CCD相机采集的实时光斑形心的周围400个像素平均灰度值作为系统性能指标;利用GPU多线程运算,对性能指标求解过程和变形镜控制电压向量更新过程进行加速处理。室内实验和外场相干光实验结果表明,斯特列尔比达到了0.8以上,时间加速比最大达到了8.6,GPU加速的波前校正系统在提升收敛速度的同时保证了校正效果。
Abstract
As for the wave-front sensorless adaptive wave-front correction system based on the stochastic parallel gradient descent (SPGD) algorithm, its convergence speed is too slow to satisfy the real-time requirement of a wireless optical coherent communication system. The parallel processing base on the SPGD algorithm is introduced and the graphics processing unit (GPU) parallel computing is used to improve the convergence speed of the correction system. The average gray value of the surrounding 400 pixels centered on the centroid of the real-time spot detected by CCD camera is employed as the value of system performance index. GPU multithreading operation is used to accelerate the solving process of the performance index and the updating process of the deformable mirror control voltage vector. The results from the indoor experiments and the external coherent light experiments show that the Strehl ratio is larger than 0.8 and the maximum time acceleration ratio is up to 8.6. Moreover, the convergence speed of the GPU accelerated wave-front correction system is improved and simultaneously the correction effect is ensured.

柯熙政, 张云峰, 张颖, 雷思琛. 无波前传感自适应波前校正系统的图形处理器加速[J]. 激光与光电子学进展, 2019, 56(7): 070101. Xizheng Ke, Yunfeng Zhang, Ying Zhang, Sichen Lei. GPU Acceleration in Wave-Front Sensorless Adaptive Wave-Front Correction System[J]. Laser & Optoelectronics Progress, 2019, 56(7): 070101.

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