NDLI: LCVR phase retardation characteristic calibration method based on SVM regression

Content Provider	IEEE Xplore Digital Library
Author	Hu, Dongmei Liu, Quan Yu, Lintao Zhu, Yifeng Song, Lu
Copyright Year	2015
Description	Author affiliation: College of Electronic Information Engineering, Changchun University Science and Technology, Changchun, 130022, China (Hu, Dongmei; Liu, Quan; Yu, Lintao; Zhu, Yifeng; Song, Lu) \|\| College of Electrical and Information Engineering, Beihua University, Jilin, 132021 P. R. China (Hu, Dongmei)
Abstract	To establish mathematical model between driving voltage and phase retardation of liquid crystal variable retarders (LCVR) attached with a compensator, A new setup based on Stokes parameters is built to measure the LCVR retardation. Under 25 °C, the 532nm wavelength vertical incident light, adjusting the driving voltage, collecting LCVR output power by polarization analyzing system. Using photoelectrical detection theory, the total of 121 experimental samples were calculated, the samples was divided equally, the one was training set and the other one is prediction set. The radial basis function is used as the kernel function in SVM(Support Vector Machines), the K-fold cross validation is used to optimize the penalty parameter c and the parameter g. Test results show, comparing with LS(least squares), For prediction model based on epsilon-SVM, the squared correlation coefficient reached 96%, the mean square error is increased. The model could rapidly and accurately obtained the phase retardation of all the wavelengths and all the voltage values of LCVR in the effective working range, prediction model based on £-SVM was an effective mean for LCVR phase calibration.
Starting Page	427
Ending Page	430
File Size	263768
Page Count	4
File Format	PDF
e-ISBN	9781467374620
DOI	10.1109/ICoOM.2015.7398859
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Voltage measurement Optimized Parameters Predictive models Calibration Applied Optics Liquid Crystal Variable Retarders (LCVR) Liquid crystals Optical retarders Support vector machines Optical polarization Support Vector Machines (SVM) Mathematical model Phase Retardation Characteristic
Content Type	Text
Resource Type	Article

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