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Turbulence compensation for laser communication, imaging on horizontal path and non-natural turbulence using direct and iterative procedures

机译:使用直接和迭代程序进行激光通信的湍流补偿,水平路径成像和非自然湍流

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摘要

We take in consideration three applications which are strongly affected from atmospheric as well as artificial turbulence. Systems in development at the IOSB institute for correcting the turbulence in each application are reported. The set of problems we are interested in are related to the tracking of objects through the atmosphere, the improvement of a laser beam for laser communication or countermeasure and the imaging of objects distorted from turbulent layers. We propose the use of adaptive optics (AO) based on classical Shack-Hartmann sensors (SH) to improve the performances of tracking systems. The SH has the advantage to be sufficiently fast, robust and suited for coherent as well as incoherent point sources correction. In consequence it is also well suited for the purpose of laser beam correction in the atmosphere. The problem of improving a complex image or scene cannot be solved with wavefront sensors in an easy way. A correction of the wavefront based on quality metric estimation and the Stochastic Parallel Gradient Descent (SPGD) algorithm is then reported here to cover this aspect. In the final part two modifications of the SPGD algorithm to improve its performances are proposed.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
机译:我们考虑了三种受大气和人为湍流强烈影响的应用。报告了IOSB研究所正在开发的用于校正每种应用中的湍流的系统。我们感兴趣的一系列问题涉及通过大气跟踪物体,改善用于激光通信或对策的激光束以及对从湍流层变形的物体进行成像。我们建议使用基于经典Shack-Hartmann传感器(SH)的自适应光学(AO)来改善跟踪系统的性能。 SH的优点是速度足够快,鲁棒性强,适合于相干和不相干点源校正。因此,它也非常适合用于大气中激光束校正的目的。用波前传感器不能简单地解决改善复杂图像或场景的问题。然后在此报告基于质量度量估计和随机平行梯度下降(SPGD)算法的波前校正。在最后一部分中,提出了对SPGD算法的两处修改,以提高其性能。©(2012)COPYRIGHT,美国光电仪器工程师协会(SPIE)。摘要的下载仅允许个人使用。

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