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Simulation of co-phase error correction of optical multi-aperture imaging system based on stochastic parallel gradient decent algorithm

机译:基于随机平行梯度体面算法的光学多孔径成像系统同相误差校正仿真

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The optical multi-aperture imaging system is an effective way to magnify the aperture and increase the resolution of telescope optical system, the difficulty of which is lied in detecting and correcting of co-phase error. This paper presents a method based on stochastic parallel gradient decent algorithm (SPGD) to correct the co-phase error. Compared with the current method, SPGD method can avoid detecting the co-phase error. This paper analyzed the influence of piston error and tilt error on image quality based on double-aperture imaging system, introduced the basic principle of SPGD algorithm, and discuss the influence of SPGD algorithm's key parameters (the gain coefficient and the disturbance amplitude) on error control performance. The results show that SPGD can efficiently correct the co-phase error. The convergence speed of the SPGD algorithm is improved with the increase of gain coefficient and disturbance amplitude, but the stability of the algorithm reduced. The adaptive gain coefficient can solve this problem appropriately. This paper's results can provide the theoretical reference for the co-phase error correction of the multi-aperture imaging system.
机译:光学多孔径成像系统是放大光圈,提高望远镜光学系统分辨率的有效途径,其困难在于检测和校正同相误差。本文提出了一种基于随机并行梯度体面算法(SPGD)的校正同相误差的方法。与现有方法相比,SPGD方法可以避免检测到同相误差。本文分析了基于双孔径成像系统的活塞误差和倾斜误差对图像质量的影响,介绍了SPGD算法的基本原理,并探讨了SPGD算法关键参数(增益系数和扰动幅度)对误差的影响。控制性能。结果表明,SPGD可以有效地校正同相误差。随着增益系数和扰动幅度的增加,SPGD算法的收敛速度有所提高,但稳定性下降。自适应增益系数可以适当地解决这个问题。本文的结果可为多孔径成像系统的同相误差校正提供理论参考。

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