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中国物理学会期刊

用于开环液晶自适应光学系统的模式预测技术研究

CSTR: 32037.14.aps.61.129501

Modal prediction for open-loop liquid-crystal adaptive optics systems

CSTR: 32037.14.aps.61.129501
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  • 时间延迟误差是液晶自适应光学系统的一个最主要的误差源. 本文提出了一种利用智能模式预测迭代最小二乘(RLS)模式预测算法来克服其对成像分辨率的影响. 首先, 介绍了具有RLS模式预测能力的开环液晶自适应光学系统的结构和工作原理. 其次, 详细讨论了RLS模式预测算法的实现过程. 再次, 设计和搭建了一套带有液晶湍流模拟器的开环液晶自适应光学系统, 对RLS模式预测算法的预测效果进行了分析, 并和直接开环校正做了比较. 分析结果表明: 当系统处于中等强度湍流条件(大气相干长度r0=6 cm, Greenwood频率fG=35 Hz)和只有时间延迟误差情况下, 经过RLS预测后, 残差波面的RMS值由直接校正的0.26波长(1波长=785 nm)降低到了0.15波长, 校正效果提高了42%. 最后, 对预测前后自适应光学系统的成像效果进行了对比试验. 实验结果显示, 经过预测以后, 系统的成像分辨率由直接开环校正的25.4 cycles/mm提高到了32.0 cycles/mm, 成像分辨率提高了26%, 达到了0.9倍的衍射极限分辨率. 因此, RLS模式预测技术可以有效的提高开环液晶自适应系统的成像分辨率.

     

    In order to reduce the time delay of the liquid-crystal (LC) adaptive optics system (AOS) which reduces the image resolution of the observed objects, we present a new technique for the first time which is called recursive least square (RLS) modal prediction of turbulent wavefront. First, we introduce the structure of the open-loop LC AOS with RLS predictor. Second, we present the RLS modal prediction algorithm in detail. Third, an actual open-loop LC AOS is designed and built, and the RLS prediction is carried out on it. It is shown that under a pure time delay system and the turbulent condition with Greenwood frequency of 35Hz and Fried parameter of 6 cm, after prediction the residual wavefront error reduce to 0.15 wave (wave=785 nm) from 0.26 wave that is obtained through the direct open loop correction. The prediction gain reaches 42%. Finally, the images obtained by the open-loop AOS with and without prediction are demonstrated. With direct correction without prediction, the image resolution reache 25.4 cycles/mm. After the correction with RLS prediction, the image resolution reaches 32.0 cycles/mm which is equal to 0.9 of the diffraction limit resolution of the system. Therefore, with respect to correction without prediction, a relative gain of 26% in image resolution is achieved with RLS prediction. In conclusion, the RLS modal prediction can improve the image resolution of the open-loop LC AOS effectively.

     

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