• Advanced Photonics Nexus
  • Vol. 3, Issue 4, 046010 (2024)
Yuxuan Xiong1、2, Ting Jiang1、2, Hao Wu1、2、*, Zheng Gao1、2, Shaojun Zhou3, Zhao Ge1、2, Siqi Yan1、2, and Ming Tang1、2、*
Author Affiliations
  • 1Huazhong University of Science and Technology, School of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Wuhan, China
  • 2Huazhong University of Science and Technology, School of Optical and Electronic Information, Next Generation Internet Access National Engineering Laboratory, Wuhan, China
  • 3Huazhong University of Science and Technology University, School of Mechanical Science and Engineering, Wuhan, China
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    DOI: 10.1117/1.APN.3.4.046010 Cite this Article Set citation alerts
    Yuxuan Xiong, Ting Jiang, Hao Wu, Zheng Gao, Shaojun Zhou, Zhao Ge, Siqi Yan, Ming Tang, "Multimode fiber speckle Stokes polarimeter," Adv. Photon. Nexus 3, 046010 (2024) Copy Citation Text show less

    Abstract

    The detection of the state of polarization (SOP) of light is essential for many optical applications. However, cost-effective SOP measurement is a challenge due to the complexity of conventional methods and the poor transferability of new methods. We propose a straightforward, low-cost, and portable SOP measurement system based on the multimode fiber speckle. A convolutional neural network is utilized to establish the mapping relationship between speckle and Stokes parameters. The lowest root-mean-square error of the estimated SOP on the Poincaré sphere can be 0.0042. This method is distinguished by its low cost, clear structure, and applicability to different wavelengths with high precision. The proposed method is of great value in polarization-related applications.
    I(x,y)=|A(x,y)|2=m=1Mn=1Mamanexp[j(ϕmϕn)].

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    S02=S12+S22+S32.

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    S=MS=[S0S1S2S3]=[m00m01m02m03m10m11m12m13m20m21m22m23m30m31m32m33][S0S1S2S3].

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    Yuxuan Xiong, Ting Jiang, Hao Wu, Zheng Gao, Shaojun Zhou, Zhao Ge, Siqi Yan, Ming Tang, "Multimode fiber speckle Stokes polarimeter," Adv. Photon. Nexus 3, 046010 (2024)
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