基于遗传算法的相位差法波前检测piston误差
Detection of Piston Errors in Wavefront Sensing Using a Genetic- Algorithm Based Phase Diversity Method
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                            摘要: 光学综合孔径望远镜常常因为子望远镜间的失调大于1λ产生相位差,影响望远镜的分辨能力。基于相位差法的检测技术,可以检测出子望远镜间的微小失调误差。提出了相位差波前检测方法与遗传算法相结合,设计了一个相位差波前传感器,进行综合孔径望远系统的piston误差检测。在计算机模拟成像系统的基础上,仿真结果证明,基于遗传算法的相位差波前检测方法可以较准确地恢复波前相位,检测piston误差。Abstract: The resolution of an optical aperture synthesis telescope can be degraded by phase errors unless its subapertures are aligned to within a small fraction of the wavelength of incoming light. The phase diversity method can be used to estimate small misalignment errors of subapertures. This paper proposes a design of wavefront sensor of phase diversities by incorporating a GA (Genetic Algorithm). Such a design is suitable for detecting piston errors of an aperture synthesis telescope. Computer simulations are used to validate the algorithms and techniques, as the results show that this GA-based method can efficiently recover wavefront phases and thus detect piston errors.
 
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