基于粒子群的虚像相位阵列光谱仪光谱反演算法  

Spectral Inversion Algorithm of Virtual Image Phase Array Spectrometer Based on Particle Swarm Optimization

作　　者：吕丙选 赵卫雄 周昊[1,2] 崔卫华[2] 方波 杨娜娜 张为俊[1,2] LYU BingXuan;Zhao Weixiong;Zhou Hao;Cui Weihua;Fang Bo;Yang Nana;Zhang Weijun(University of Science and Technology of China,Hefei 230036,Anhui,China;Anhui Institute of Optics and Fine Mechanics,Hefei Institute of Physical Science,Chinese Academy of Sciences,Hefei 230031,Anhui,China)

机构地区：[1]中国科学技术大学,安徽合肥230036 [2]中国科学院合肥物质科学研究院安徽光学精密机械研究所,安徽合肥230031

出　　处：《光学学报》2024年第24期292-300,共9页Acta Optica Sinica

基　　金：国家自然科学基金(42022051,U21A2028)、中国科学院青年创新促进会(Y202089)、中国科学院合肥物质科学研究院基金(YZJJ202101,BJPY2023A02)。

摘　　要：虚像相位阵列光谱仪是一种兼具宽谱、高分辨率优点的新型正交色散型光谱仪。使用虚像相位阵列光谱仪在6900~6990 cm^(-1)波段对二氧化碳(CO_(2))开展了宽光谱测量,发展了一种基于粒子群的吸收光谱反演优化算法。首先基于HITRAN数据库建立CO_(2)分子吸收模拟谱线,然后在对实测谱线进行三次多项式波长标定的基础上,通过粒子群优化模拟吸收峰的峰值位置参数,实现模拟谱线与实测谱线位置上的最佳吻合,从而提高吸收光谱的参数反演精度。结合超连续光源和Chernin型光学多通池检测了不同体积分数的CO_(2)吸收光谱。实验结果表明未优化峰值位置时CO_(2)体积分数反演结果与理论值相差约33%,优化峰值位置后,体积分数反演结果与理论值的偏差仅为1.8%,证明该粒子群优化算法可用于虚像相位阵列光谱仪的分子体积分数的反演优化。Objective Carbon dioxide(CO_(2))is a principal byproduct of hydrocarbon fuel combustion.Realtime detection of CO_(2) can evaluate combustion temperature and efficiency,playing a crucial role in combustion diagnosis.Compared with the probe method and other contact techniques,laser absorption spectroscopy offers rapid,precise and nonintrusive measurement of CO_(2) in combustion environments.This method has attracted increasing attention and research,becoming a mainstream technology for combustion diagnosis.Among various approaches,combining a broadband laser source with broadband absorption spectrum measurement allows capturing more sample absorption characteristics,especially when sample absorption is weak or subject to interference from other absorbents,providing the advantage of multiwavelength absorption spectrum detection.The virtual image phase array(VIPA)spectrometer,characterized by its wide spectral range and high resolution,represents a novel type of orthogonal dispersion spectrometer.However,when directly applying the VIPA spectrometer to gas parameter inversion,the measured spectral frequency axis exhibits deviations from theoretical values due to the nonlinear dispersion of the VIPA element and discrete sampling by the array detector,leading to reduced accuracy in gas inversion.This paper presents a spectral inversion accuracy optimization algorithm based on particle swarm optimization(PSO)aimed at enhancing the precision of CO_(2) detection using the VIPA spectrometer for widespectrum CO_(2) detection.Methods The CO_(2) measurement system,centered around the VIPA spectrometer,primarily consists of two components:the CO_(2) concentration detection part and the gas preparation part.Light emitted by a supercontinuum light source,after filtration through a 1.42‒1.45µm filter,combined with a fiber collimator,enters a Chernintype optical absorption multipass cell with an optical path length of 4 m.An optical fiber coupler directs the light exiting the multipass cell into a singlemode fiber,which is then

关 键 词：虚像相位阵列光谱仪 粒子群优化 高分辨率 二氧化碳探测 

分 类 号：O439[机械工程—光学工程]