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Dynamic Aberration Correction for Conformal Window of High-Speed Aircraft Using Optimized Model-Based Wavefront Sensorless Adaptive Optics

机译:基于优化的基于模型的波前无传感器自适应光学系统对高速飞机的共形窗口进行动态像差校正

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摘要

For high-speed aircraft, a conformal window is used to optimize the aerodynamic performance. However, the local shape of the conformal window leads to large amounts of dynamic aberrations varying with look angle. In this paper, deformable mirror (DM) and model-based wavefront sensorless adaptive optics (WSLAO) are used for dynamic aberration correction of an infrared remote sensor equipped with a conformal window and scanning mirror. In model-based WSLAO, aberration is captured using Lukosz mode, and we use the low spatial frequency content of the image spectral density as the metric function. Simulations show that aberrations induced by the conformal window are dominated by some low-order Lukosz modes. To optimize the dynamic correction, we can only correct dominant Lukosz modes and the image size can be minimized to reduce the time required to compute the metric function. In our experiment, a 37-channel DM is used to mimic the dynamic aberration of conformal window with scanning rate of 10 degrees per second. A 52-channel DM is used for correction. For a 128 × 128 image, the mean value of image sharpness during dynamic correction is 1.436 × 10−5 in optimized correction and is 1.427 × 10−5 in un-optimized correction. We also demonstrated that model-based WSLAO can achieve convergence two times faster than traditional stochastic parallel gradient descent (SPGD) method.
机译:对于高速飞机,共形窗口用于优化空气动力学性能。然而,共形窗口的局部形状导致大量的动态像差随视角变化。在本文中,可变形反射镜(DM)和基于模型的波前无传感器自适应光学器件(WSLAO)用于配备了共形窗口和扫描镜的红外遥感器的动态像差校正。在基于模型的WSLAO中,使用Lukosz模式捕获像差,并且我们将图像光谱密度的低空间频率内容用作度量函数。仿真表明,共形窗口引起的像差主要由一些低阶Lukosz模式主导。为了优化动态校正,我们只能校正主要的Lukosz模式,并且可以将图像大小最小化,以减少计算度量函数所需的时间。在我们的实验中,使用37通道DM来模拟共形窗口的动态像差,扫描速率为每秒10度。使用52通道DM进行校正。对于128×128的图像,动态校正过程中图像清晰度的平均值在优化校正中为1.436×10 −5 ,在未优化校正中为1.427×10 −5 更正。我们还证明了基于模型的WSLAO可以比传统的随机并行梯度下降(SPGD)方法快两倍的收敛速度。

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