Application of wavelet threshold denoising in PMD measurement by fixed analyzer method

Yuyang Sha; Lixia Xi; Xiaoguang Zhang; Xianfeng Tang; Wenbo Zhang

doi:10.1117/12.2506211

15 November 2018 Application of wavelet threshold denoising in PMD measurement by fixed analyzer method

Yuyang Sha, Lixia Xi, Xiaoguang Zhang, Xianfeng Tang , Wenbo Zhang

Proceedings Volume 10964, Tenth International Conference on Information Optics and Photonics; 109644S (2018) https://doi.org/10.1117/12.2506211
Event: Tenth International Conference on Information Optics and Photonics (CIOP 2018), 2018, Beijing, China

Abstract

In order to eliminate the error introduced by noise from fixed analyzer method when measuring polarization mode dispersion of optical fiber and improve the accuracy of the polarization mode dispersion measurement system, a novel denoising approach based on wavelet threshold denoising is proposed in this paper. This paper presents the algorithm flow chart based on wavelet threshold denoising and discusses the selection principles of wavelet threshold, wavelet threshold function, mother wavelet and the number of wavelet decomposition layers. We built an experimental platform and compare the measurement results with Fourier transform algorithm and the commercial polarization mode dispersion measurement instrument. Experimental results show that the proposed wavelet threshold denoising method can effectively reduce impact of noise on the measurement results effectively, which is suitable for different types and lengths of test fiber samples. Taking the commercial instrument as the standard reference, the maximum error of the measurement result of this scheme is 2.27%, which improves the accuracy significantly of the polarization mode dispersion measurement results measure by the fixed analyzer.

Citation Download Citation

Yuyang Sha, Lixia Xi, Xiaoguang Zhang, Xianfeng Tang , and Wenbo Zhang "Application of wavelet threshold denoising in PMD measurement by fixed analyzer method", Proc. SPIE 10964, Tenth International Conference on Information Optics and Photonics, 109644S (15 November 2018); https://doi.org/10.1117/12.2506211

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