Laser & Optoelectronics Progress, Volume. 55, Issue 11, 110603(2018)

Characteristic Analysis of Correlation Interference Signals in Optical Wedge Type Fiber Fabry-Perot Sensors

Qingqing Chen1, Ying Tang1, Kening Wang1, Haibin Chen1、*, and Zhibo Ma2
Author Affiliations
  • 1 School of Optoelectronics Engineering, Xi'an Technological University, Xi'an, Shaanxi 710021, China
  • 2 Shaanxi Provincial of Key Laboratory of Micro and Nano Electromechanical Systems Laboratory, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China
  • show less

    In order to accurately extract the peak positions of correlation interference signals and provide a theoretical reference for the demodulation mechanism of the correlation interference of an optical wedge type fiber Febry-Perot sensor, the correlation interference signals of three typical spectral distributions of light source are numerically simulated and the obtained correlation interference signals are analyzed in detail. Moreover, the influence of spectral bandwidth on the width, amplitude and contrast ratio of the correlation interference signals is discussed under the condition of different spectral distributions. The analysis results show that the correlation interference signals have relatively small noises, sparse stripes and high signal contrasts when the light source has a Gaussian spectral distribution and a relatively large bandwidth. It is beneficial to search peaks accurately and realize a high precision demodulation.

    Tools

    Get Citation

    Copy Citation Text

    Qingqing Chen, Ying Tang, Kening Wang, Haibin Chen, Zhibo Ma. Characteristic Analysis of Correlation Interference Signals in Optical Wedge Type Fiber Fabry-Perot Sensors[J]. Laser & Optoelectronics Progress, 2018, 55(11): 110603

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Apr. 9, 2018

    Accepted: Jun. 4, 2018

    Published Online: Aug. 14, 2019

    The Author Email: Chen Haibin (chenhaibin@xatu.edu.cn)

    DOI:10.3788/LOP55.110603

    Topics