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基于图像清晰度无波前传感器自适应光学系统的研究

Reserch of Wavefront Sensorless Adaptive Optics System Based on Image Sharpening
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摘要 自适应光学技术能够校正大气湍流造成的光束畸变,但常规自适应光学系统需要波前传感器测量波前信息。在本文中系统不使用波前传感器,而是以图像清晰度作为优化指标,使用无模型的随机并行梯度优化算法,对大气湍流引起的波前误差进行时实补偿,结果表明此系统算法经过多次迭代后达到很好的校正效果。 Adaptive optics can correct beam aberrations, which arises from atmospheric turbulence,but conventional adaptive optics system requires measuring the wavefront information with the wavefront sensor （WFS）. In this paper,a sensorless adaptive optics system based on the direct optimization of a system image sharpening performance has been reported. The model-free stochastic parallel optimization algorithm achieves realtime compensation of wavefront error. Results show that good correction is achieved within many iterations of the algorithm.
作者 韩立强 王祁 信太克归 李志全
机构地区 哈尔滨工业大学自动化测试与控制系 燕山大学电气工程学院
出处 《传感技术学报》 CAS CSCD 北大核心 2009年第11期1568-1570,共3页 Chinese Journal of Sensors and Actuators
关键词 无波前传感器自适应光学 图像清晰度 随机并行优化 湍流 wavefront sensorless adaptive optics image sharpening stochastic parallel optimization turbulence
分类号 TP751 [自动化与计算机技术—检测技术与自动化装置]
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参考文献13

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二级参考文献22

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传感技术学报
2009年 第11期

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