基于改进粒子群算法的光学相控阵栅瓣优化  

Grating Lobe Optimization of Optical Phased Array Based on Improved Particle Swarm Optimization Algorithm

作　　者：梅泽迅 周木春[1] Mei Zexun;Zhou Muchun(School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,Jiangsu,China)

机构地区：[1]南京理工大学电子工程与光电技术学院,江苏南京210094

出　　处：《激光与光电子学进展》2023年第20期202-207,共6页Laser & Optoelectronics Progress

基　　金：中国博士后科学基金(2016M601817)。

摘　　要：光学相控阵激光雷达系统具有体积小、扫描速度快等特点,但栅瓣问题很大程度上限制了它的性能。采用不等间距光学相控阵方法破坏光学相控阵周期性从而抑制栅瓣的生成。提出一种改进的粒子群算法,引入自适应参数优化、扰动策略和最优保留策略改善传统粒子群算法寻优效果,不断优化光学相控阵最优阵元分布,最终得到使栅瓣降至低水平的阵元间距值。对所提基于改进粒子群算法的栅瓣优化算法进行模拟实验,测试结果表明最大栅瓣值降低至0.0968,有效改善了栅瓣问题。最后使用所提算法对二维矩阵平面阵列进行研究,提出了二维非均匀光学相控阵的优化设计方法。Optical phased array LiDAR systems possess small sizes and high-speed scanning capabilities.However,their performance is severely limited by the grating lobe problem.The non-equal spacing optical phased array method resolves this limitation by breaking the periodicity of optical phased arrays and suppressing grating lobe formation.The proposed particle swarm optimization algorithm improved upon the traditional algorithm by introducing adaptive parameter optimization,a perturbation strategy,and an optimal retention strategy to improve the optimization effect of the traditional algorithm.Moreover,it continuously optimized the optimal element distribution of optical phased arrays to obtain the element spacing values that reduced the level of grating lobes.The grating lobe optimization method based on the improved particle swarm algorithm was simulated and tested.The test results revealed that the maximum grating lobe value can be reduced to 0.0968,effectively addressing the grating lobe problem.Finally,the proposed algorithm was used to study the two-dimensional rectangular planar array and an optimization design method for a two-dimensional nonuniform optical phased array was proposed.

关 键 词：遥感 激光雷达 光学相控阵 粒子群算法 栅瓣抑制 非均匀间隔 

分 类 号：TN958.98[电子电信—信号与信息处理]