Performance optimization of liquid crystal optical phased array beam based on stochastic parallel gradient descent algorithm

Lan-ting Li; Chun-yang Wang; Guang-ping Zhang; Hong-wei Shi; Qi-feng Niu

doi:10.1117/12.2541889

16 October 2019 Performance optimization of liquid crystal optical phased array beam based on stochastic parallel gradient descent algorithm

Lan-ting Li, Chun-yang Wang, Guang-ping Zhang, Hong-wei Shi, Qi-feng Niu

Author Affiliations +

Proceedings Volume 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019); 112051X (2019) https://doi.org/10.1117/12.2541889
Event: Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 2019, Phuket, Thailand

Abstract

Affected by voltage quantification, manufacture technology and environment temperature, the actual deflection accuracy and diffraction efficiency of liquid crystal optical phased arrays (LC-OPA) are in error with the ideal situation when the beam deflected. In this paper, we studied the method of improving the deflection performance of LC-OPA based on stochastic parallel gradient descent (SPGD) algorithm, and choose Strehl ratio (SR) as the performance evaluation function for simulation experiments. We analyzed the influence of the disturbance amplitude δ, the gain coefficient γ and the number of periodic electrodes N on the performance optimization of the SPGD algorithm in the LC- OPA beam. Draw the conclusion: When the number of periodic electrodes N is within a certain range, appropriate adjustment of the disturbance amplitude δ and the gain coefficient γ can achieve better optimization effects, and the larger the deflection angle, the better the optimization effect. When the number of periodic electrodes N is 4, the amplitude of disturbance δ is 0.0009, and the gain coefficient γ is 0.1, the ideal optimization effect of SR of 0.82 can be achieved, which provides a theoretical basis for improving the large-angle deflection precision and diffraction efficiency of LC-OPA.

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Lan-ting Li, Chun-yang Wang, Guang-ping Zhang, Hong-wei Shi, and Qi-feng Niu "Performance optimization of liquid crystal optical phased array beam based on stochastic parallel gradient descent algorithm", Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 112051X (16 October 2019); https://doi.org/10.1117/12.2541889

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