光谱可调积分球光源的光谱匹配算法研究

Spectral matching algorithm of spectrum-tunable integrating sphere light source

  • 摘要: 基于光谱匹配算法是可调光源产生种类多样光谱分布的必要手段,提出LevenbergMarquardt算法作为光谱匹配算法。利用峰值位置等间隔均匀分布的理想高斯曲线作为LED发光光谱,借助该设定的一系列曲线仿真模拟目标光谱,实验表明,利用该算法模拟太阳、沙漠、海洋和植被的相对光谱分布,相对光谱差异分别为2.17%、1.76%、2.03%、1.7%。利用实验室现有LED的发光光谱进行验证实验,匹配3种目标光谱的相对差异均小于5%。实验结果表明,LevenbergMarquardt算法可应用于光谱可调积分球光源的光谱匹配。

     

    Abstract: Spectrum-tunable light source is an integrating sphere source illuminated by a large number of LEDs with different spectral peaks and distributions. The spectral matching algorithm is an essential approach to produce varieties of spectra. Levenberg-Marquardt algorithm was proposed and a series of simulations using Gaussian curves with an equal interval were conducted. The results of simulations show that Levenberg-Marquardt algorithm can make spectrum-tunable source produce solar, dessert,ocean and vegetation spectrum, respectively, the relative spectrum differences are 2.17% , 1.76% , 2.03% and 1.7%,respectively. The validating experiment for a number of target distributions was performed, and the relative spectral differences are all no more than 5%. The experiment verifies that it is feasible to produce different spectral distributions by using Levenberg-Marquardt algorithm for spectrum-tunable integrating sphere light source.

     

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