基于自适应差分进化算法的LED光谱匹配  

LED Spectral Matching Based on Adaptive Differential Evolution Algorithm

作　　者：程真 司赶上 李振钢 宁志强 刘家祥 黄文彪 斯贝贝 杨长平 方勇华 Cheng Zhen;Si Ganshang;Li Zhengang;Ning Zhiqiang;Liu Jiaxiang;Huang Wenbiao;Si Beibei;Yang Changping;Fang Yonghua(School of Environment Science and Optoelectronic Technology,University of Science and Technology of China,Hefei 230026,Anhui,China;Key Laboratory of Environment Optics and Technology,Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Hefei 230031,Anhui,China)

机构地区：[1]中国科学技术大学环境科学与光电技术学院,安徽合肥230026 [2]中国科学院安徽光学精密机械研究所环境光学与技术重点实验室,安徽合肥230031

出　　处：《光学学报》2022年第9期278-286,共9页Acta Optica Sinica

摘　　要：为实现用单色发光二极管(LED)合成所需要的各种目标光谱,提出将自适应差分进化算法作为光谱匹配算法。以高斯修正模型表征单色LED的分布,基于均匀分布的LED,模拟了标准AM1.5太阳光谱和植被光谱,并采用相关指数和均方根误差作为评价标准。在此基础上,利用实验室现有的LED进行了实验验证,所提算法的拟合效果均比模拟退火算法和遗传算法好。实验结果表明,提出的自适应差分进化算法可自动设置参数,拟合效果好,可以被广泛应用于各种LED光谱匹配仿真实验和工程实践中。An adaptive differential evolution algorithm is proposed as a spectral matching algorithm to synthesize various target spectra with monochromatic light-emitting diodes(LEDs).The gaussian correction model is used to characterize the distribution of monochromatic LEDs.The standard AM1.5 solar spectrum and vegetation spectrum are simulated based on equally distributed LEDs,and the correlation coefficient and root-mean-square error are used as evaluation criteria.On this basis,the LEDs in the laboratory are used for experimental verification,and the fitting effect of the proposed algorithm is better than the simulated annealing algorithm and the genetic algorithm.The experimental results show that the proposed adaptive differential evolution algorithm,with automatic setting of parameters and good fitting effect,can be widely used in the LED spectral matching simulation tests and engineering practices.

关 键 词：光谱学 发光二极管 光谱模型 光谱匹配 差分进化算法 曲线拟合 

分 类 号：O432[机械工程—光学工程]