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Optimizing LED spectrum fitting using double Gaussian functions

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In order to minimize errors during the LED spectrum fitting process and achieve a closer match between the fitted spectrum and the target spectrum, a method employing double Gaussian functions for fitting is proposed. This approach, in comparison to the widely applied modified Gaussian model, avoids issues such as sidelobe uplift when dealing with narrow-band LED spectra. It demonstrates effective fitting for narrow-band LED spectra, exhibiting higher fitting accuracy at the bottom of the spectrum compared to the simple Gaussian model. Moreover, this fitting method introduces no additional fitting variables. The model is constructed by combining two Gaussian functions with weighted summation, and optimizing the weighted coefficients of the two Gaussian functions achieves the best fitting results. Finally, the proposed model is applied to fit various LED spectra, yielding satisfactory results. The outcomes indicate that the overall fitting performance of the double Gaussian model surpasses that of the Gaussian model and the modified Gaussian model.
Słowa kluczowe
Czasopismo
Rocznik
Strony
353--363
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
autor
  • School of Electronics and Information Engineering, Hengshui University, Hengshui 053000, People’s Republic of China
  • Collaborative Innovation Center for Wetland Conservation and Green Development of Hebei Province, Hengshui 053000, People’s Republic of China
autor
  • School of Electronics and Information Engineering, Hengshui University, Hengshui 053000, People’s Republic of China
autor
  • College of Integrated Circuit Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, People’s Republic of China
autor
  • School of Electronics and Information Engineering, Hengshui University, Hengshui 053000, People’s Republic of China
autor
  • School of Electronics and Information Engineering, Hengshui University, Hengshui 053000, People’s Republic of China
autor
  • School of Electronics and Information Engineering, Hengshui University, Hengshui 053000, People’s Republic of China
autor
  • School of Electronics and Information Engineering, Hengshui University, Hengshui 053000, People’s Republic of China
autor
  • School of Electronics and Information Engineering, Hengshui University, Hengshui 053000, People’s Republic of China
autor
  • School of Electronics and Information Engineering, Hengshui University, Hengshui 053000, People’s Republic of China
Bibliografia
  • [1] SUN C., JIN Z., SONG Y., CHEN Y., XIONG D., LAN K., HUANG Y., ZHANG M., LED-based solar simulator for terrestrial solar spectra and orientations, Solar Energy 233, 2022: 96-110. https://doi.org/10.1016/j.solener.2022.01.001
  • [2] RGHIF Y., BAHRAOUI F., ZEGHMATI B., Experimental and numerical investigations of heat and mass transfer in a salt gradient solar pond under a solar simulator, Solar Energy 236, 2022: 841-859. https://doi.org/10.1016/j.solener.2022.03.033
  • [3] BLISS M., BETTS T.R., GOTTSCHALG R., Advantages in using LEDs as the main light source in solar simulators for measuring PV device characteristics, Proceedings of the SPIE, Vol. 7048, Reliability of Photovoltaic Cells, Modules, Components, and Systems, 2008: 704807. https://doi.org/10.1117/ 12.795428
  • [4] TSUNO Y., KAMISAKO K., KUROKAWA K., New generation of PV module rating by LED solar simulator - A novel approach and its capabilities, [In] 2008 33rd IEEE Photovoltaic Specialists Conference, San Diego, CA, USA, 2008: 1-5. https://doi.org/10.1109/PVSC.2008.4922582
  • [5] KOLBERG D., SCHUBERT F., KLAMETH K., SPINNER D.M., Homogeneity and lifetime performance of a tunable close match LED solar simulator, Energy Procedia 27, 2012: 306-311. https://doi.org/10.1016/j.egypro.2012.07.068
  • [6] FRYC I., BROWN S.W., EPPELDAUER G.P., OHNO Y., LED-based spectrally tunable source for radiometric, photometric, and colorimetric applications, Optical Engineering 44(11), 2005: 111309. https://doi.org/10.1117/1.2127952
  • [7] ZHU J.Y., REN J.W., LI B.Y., WAN Z., LIU Z.X., LI X.S., ZHANG Y.Q., ZHAO Y.E., QUAN X.R., Synthesis of spectral distribution for LED-based source with tunable spectra, Chinese Journal of Luminescence 31, 2010: 883-887. (in Chinese)
  • [8] GAN R.T., GUO Z.N., LIN J.B., ZHENG M.J., YANG F.F., YAN W.P., LIN M.C., The genetic algorithm in the applicationg of LED light source spectral maching technology, Acta Photon Sinica 43, 2014: 0730003. (in Chinese)
  • [9] HUANG M.L., CHEN H.T., ZHOU X.F., CAI J.Y., ZHOU J.R., HE Z.Q., Optimization spectrum of white light emitting diodes based on correlated color temperature and luminous flux, Acta Photonica Sinica 44, 2015: 1030001. (in Chinese)
  • [10] REN Z.M., LU H.M., FENG L.Y., YANG L., ZHU Y.F., WANG J.P., A method for natural spectral reproduction based on fully connected neural network, Acta Optica Sinica 43, 2023: 1030001. (in Chinese)
  • [11] CHEN X.C., Improved bounding box regression loss function based on smooth L1, College Mathematics 37, 2021: 18-23. (in Chinese)
  • [12] ZHANG Y.B., DONG L., ZHANG G.Y., Simulation of high power monochromatic LED solar spectrum based on effective set algorithm, Chinese Journal of Luminescence 39, 2018: 862-869. (in Chinese)
  • [13] ZHU J.Y., The Research of LED-based Spectrally Tunable Source, Master’s Degree Thesis of Graduate School of Chinese Academy of Sciences, 2010. (in Chinese)
  • [14] SHEN H.P., FENG H.J., PAN J.G., HU H.Y., LED spectral mathematical models and their applications, [In] Proceedings of 26th Annual Meeting of Chinese Illuminating Society, Beijing, China, 2005: 83-85.
  • [15] CHENG Z., SI G.S., LI Z.G., NING Z.Q., LIU J.X., HUANG W.B., SI B.B., YANG C.P., FANG Y.H., LED spectral matching based on adaptive differential evolution algorithm, Acta Optica Sinica 42, 2022: 0930004. (in Chinese)
  • [16] LU H.L., GUO Z.Q., DANG J.S., GAO Y.L., LU Y.J., Research on high S/P of phosphor-type white LED with high color temperature, Electro-Optic Technology Application 31, 2016: 24-28.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a4db1c66-7d1c-4e9c-81dd-62e49d671d77
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