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arXiv 2402.02752physics.optics
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使用神经网络实现快速单像素模态波前传感

Fast single pixel modal wavefront sensing using neural networks

Antony Orth, Oliver Pitts, Costel Flueraru, Terrence Stewart, Hamed Akhlaghi, Mohamadreza Pashazanoosi, Michael Taylor, Steve Hranilovic

AI总结:

提出一种使用单个光电二极管和快速反射镜结合神经网络的单像素波前传感技术,在2kHz速率下有效克服强湍流中的模态串扰,实现99%最佳Strehl比,解决了卫星光通信中缺乏快速相机的难题。

摘要:

动态波前像差对包括天文学、光学自由空间电信和生物成像在内的广泛光学应用产生负面影响。波前误差可以通过由可变形反射镜和波前传感器通过控制回路连接组成的自适应光学系统来补偿。对于卫星光通信(SatCom),由于强湍流和发射卫星在天空中移动引起的快速波前波动,波前传感尤其具有挑战性。现有的波前传感技术需要快速相机(>kHz),而在适合SatCom的波长(例如,1550nm和中长波红外)下,这种相机并不广泛可用。在这里,我们提出了一种新的波前传感技术,使用单个光电二极管和快速反射镜对入射波前进行相位分集强度测量。我们训练神经网络,在给定此相位分集亚毫秒强度轨迹的情况下准确估计输入相位。我们的模拟表明,在强湍流情况下,当先前的模态波前传感器由于模态串扰而失效时,我们的技术具有鲁棒性,在2kHz的传感速率下从50模态校正中实现了99%的最佳Strehl比。我们探讨了此类系统可能遇到的湍流幅度、传感速度和噪声的典型情况。

英文摘要:

Dynamic wavefront aberrations negatively impact a wide range of optical applications including astronomy, optical free-space telecommunications and bio-imaging. Wavefront errors can be compensated by an adaptive optics system comprised of a deformable mirror and wavefront sensor connected by a control loop. For satellite optical communications (SatCom), wavefront sensing is particularly challenging due to the rapid wavefront fluctuations induced by strong turbulence and movement of the transmitting satellite across the sky. Existing wavefront sensing techniques require fast cameras (>kHz) that are not widely available at wavelengths suitable for SatCom (e.g., 1550nm and mid-to-long wave infrared). Here, we propose a new wavefront sensing technique that uses a single photodiode and a fast mirror to make phase-diverse intensity measurements of the incoming wavefront. We train neural networks to accurately estimate the input phase given this phase-diverse sub-millisecond intensity trace. Our simulations show that our technique is robust in cases of strong turbulence where previous modal wavefront sensors fail due to modal crosstalk, achieving 99% of the optimal Strehl ratio from a 50-mode correction at a sensing rate of 2kHz. We explore typical cases of turbulence magnitude, sensing speed and noise that might be encountered by such a system.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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