基于改进型粒子群优化算法的畸变光斑校正仿真研究  

Distortion Spot Correction Based on Improved Particle Swarm Optimization Algorithm

作　　者：刘珍 竹孝鹏[1,2] 毕德仓 刘继桥[1,2] 陈卫标 Liu Zhen;Zhu Xiaopeng;Bi Decang;Liu Jiqiao;Chen Weibiao(Space Laser Engineering Department,Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201800,China;Center of Materials Science and Optoelectronics Engineering,University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院上海光学精密机械研究所航天激光工程部,上海201800 [2]中国科学院大学材料与光电研究中心,北京100049

出　　处：《中国激光》2024年第13期153-163,共11页Chinese Journal of Lasers

基　　金：上海市科技创新行动计划(22dz1208700)。

摘　　要：相干探测激光雷达作为一项重要的光学探测技术,在实际应用中面临着大气湍流的影响:大气湍流会导致光斑发生畸变,从而降低探测性能。为解决这一问题,笔者提出了基于改进型粒子群优化算法的畸变光斑校正方法。该方法通过引入Metropolis准则以一定的概率接受劣质解,达到了更高的收敛极限。另外,改进型粒子群优化算法对惯性参数的取值不敏感。对于不同的惯性参数,随着迭代次数增加,所提算法最终都能够达到相同的收敛极限,这说明改进型粒子群优化算法的鲁棒性较好。在中强湍流和强湍流下,对比分析了随机并行梯度下降(SPGD)算法、粒子群优化(PSO)算法和改进型PSO算法的校正结果。仿真结果表明:在收敛速度方面,SPGD算法用时最长,其次是PSO算法,改进型PSO算法用时最短。在收敛极限方面,对于中强湍流,三种算法都能够使斯特列尔比提高到0.8以上,可以认为畸变校正达到了理想效果;对于强湍流,SPGD、PSO和改进型PSO算法使斯特列尔比分别提高了1.2、2.6、3.2倍(与校正前相比)。综合来看,相比SPGD和PSO算法,改进型PSO算法更有利于提高相干探测激光雷达的性能,尤其是在强湍流条件下。Objective Coherent detection lidar, a pivotal optical sensing technology, is widely used in various fields, including meteorological forecasting, wind energy generation, and other fields. However, the performance of coherent-detection lidar is significantly affected by atmospheric turbulence in practical applications. Turbulence induces random variations in the optical path, resulting in wavefront distortion that adversely affects the quality of the received beam. Wavefront distortion correction, achieved through adaptive optics technology, has been proved to be an effective solution. The core of this method involves the use of optimization algorithms to control a deformable mirror, generating a phase that is conjugate to the wavefront distortion, thereby compensating for wavefront aberrations.The stochastic parallel-gradient descent(SPGD) algorithm is widely used for this purpose. However, because of the introduction of random perturbations, it exhibits a slow convergence speed. The particle swarm optimization(PSO) algorithm, proposed by Kennedy and Eberhart, is favored owing to its rapid convergence, simplicity, independence from derivative information, and parallel computation capabilities. However, both algorithms are susceptible to becoming trapped in local optima, particularly when addressing large and complex problem spaces. To address this challenge, we propose an improved PSO algorithm for distortion spot correction.Methods The improved PSO algorithm introduces the Metropolis criterion to probabilistically accept solutions with relatively low performance, which aids in escaping local optima, thereby achieving a higher convergence limit. The application of this algorithm to wavefront distortion correction further enhances the correction capabilities. First, we simulated the laser transmission through atmospheric turbulence based on the multi-phase screen propagation principle, resulting in the generation of distorted spots.Subsequently, we optimized the inertial parameters in both the PSO and improved PSO

关 键 词：相干光学 相干探测激光雷达 自适应光学 畸变光斑校正 改进型粒子群优化算法 

分 类 号：O436[机械工程—光学工程]