基于贪心遗传算法的液晶光学相控阵多光束扫描

Multi-beam Scanning of Liquid Crystal Optical Phased Array Based on Greedy Algorithm

针对液晶光学相控阵单光束扫描周期长、捕获效率低的问题,提出基于贪心遗传算法的液晶光学相控阵多光束扫描方法。利用多个液晶光学相控阵实现互相独立扫描的多个光束,在用多光束对多个动态目标进行扫描时,根据目标已知的大小、位置以及速度信息,设计基于贪心遗传算法的多光束扫描方法,使用目标捕获效率作为目标函数,对每个光束分配待扫描的目标,并确定多个目标的扫描顺序;搭建液晶光学相控阵多光束扫描平台,在不同的目标数量、目标移动速度以及不同的光斑半径等条件下,对所提的扫描方法进行仿真以及实验验证。研究结果表明:相较于传统扫描方法,基于贪心遗传算法的多光束扫描方法不仅有效地缩短了扫描周期,而且提高了动态目标的捕获效率。

This paper presents a multi-beam scanning method for liquid crystal optical phased arrays(LC-OPAs)based on greedy genetic algorithm to solve issues of long scanning periods and low capture efficiency associated with single-beam scanning.Multiple LC-OPAs are utilized to generate independent beams with equal scanning areas.To efficiently scan and track multiple dynamic targets,a greedy genetic algorithm-based multi-beam scanning scheme is proposed.The scheme assigns targets to each beam based on target size,position,and velocity information,optimizing the scanning order to maximize target capture probability.A liquid crystal optical phased array multi-beam scanning platform is built,and the proposed scanning method is simulated and experimentally verified under various target numbers,target movement speeds,and spot radii.The results demonstrate that the proposed method can not only effectively reduces the scanning cycle but also improves the capture efficiency of dynamic targets.