激光与光电子学进展, 2018, 55 (8): 082303, 网络出版: 2018-08-13
基于蝙蝠算法的液晶光学相控阵波束优化 
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Beam Optimization of Liquid Crystal Optical Phased Array Based on Bat Algorithm
光学器件 液晶相控阵 蝙蝠算法 偏转效率 波束优化 optical devices liquid crystal phased array bat algorithm deflection efficiency beam optimization
摘要
为了解决液晶光学相控阵实际偏转效率远低于理论水平的问题，分别从迭代次数和衍射效率两个方面，将蝙蝠算法与粒子群算法进行了对比。仿真结果表明，蝙蝠算法的优化效果良好，迭代速度快于粒子群算法的，且在相控阵的波束优化方面具有良好的应用前景。
Abstract
The actual deflection efficiency of the liquid crystal optical phased array is far below the theoretical level. In order to solve this problem, the bat algorithm is compared with the particle swarm algorithm from two aspects of the number of iterations and the diffraction efficiency, respectively. The simulation results show that, as for the bat algorithm, its optimization effect is fine, and its iteration speed is larger than that of the particle swarm algorithm. The bat algorithm possesses a good application prospect in the beam optimization of phased array.
黄志伟, 王春阳, 彭丽华, 史红伟, 牛启凤. 基于蝙蝠算法的液晶光学相控阵波束优化[J]. 激光与光电子学进展, 2018, 55(8): 082303. Huang Zhiwei, Wang Chunyang, Peng Lihua, Shi Hongwei, Niu Qifeng. Beam Optimization of Liquid Crystal Optical Phased Array Based on Bat Algorithm[J]. Laser & Optoelectronics Progress, 2018, 55(8): 082303.
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