The Experts below are selected from a list of 70530 Experts worldwide ranked by ideXlab platform

Anbo Wang - One of the best experts on this subject based on the ideXlab platform.

  • frequency estimation based Signal Processing Algorithm for white light optical fiber fabry perot interferometers
    Applied Optics, 2005
    Co-Authors: Fabin Shen, Anbo Wang
    Abstract:

    A novel Signal-Processing Algorithm based on frequency estimation of the spectrogram of single-mode optical fiber Fabry–Perot interferometric sensors under white-light illumination is described. The frequency-estimation approach is based on linear regression of the instantaneous phase of an analytical Signal, which can be obtained by preProcessing the original spectrogram with a bandpass filter. This method can be used for a relatively large cavity length without the need for spectrogram normalization to the spectrum of the light source and can be extended directly to a multiplexed sensor system. Experimental results show that the method can yield both absolute measurement with high resolution and a large dynamic range. Performance analysis shows that the method is tolerant of background noise and variations of the source spectrum.

  • frequency estimation based Signal Processing Algorithm for white light optical fiber fabry perot interferometers
    Applied Optics, 2005
    Co-Authors: Fabin Shen, Anbo Wang
    Abstract:

    A novel Signal-Processing Algorithm based on frequency estimation of the spectrogram of single-mode optical fiber Fabry–Perot interferometric sensors under white-light illumination is described. The frequency-estimation approach is based on linear regression of the instantaneous phase of an analytical Signal, which can be obtained by preProcessing the original spectrogram with a bandpass filter. This method can be used for a relatively large cavity length without the need for spectrogram normalization to the spectrum of the light source and can be extended directly to a multiplexed sensor system. Experimental results show that the method can yield both absolute measurement with high resolution and a large dynamic range. Performance analysis shows that the method is tolerant of background noise and variations of the source spectrum.

  • Signal Processing Algorithm for white light optical fiber extrinsic fabry perot interferometric sensors
    Optics Letters, 2004
    Co-Authors: Ming Han, Fabin Shen, Yan Zhang, Gary Pickrell, Anbo Wang
    Abstract:

    We present a novel Signal-Processing Algorithm for single-mode optical fiber extrinsic Fabry–Perot interferometric sensors that can achieve both high-resolution, absolute measurement of the cavity length and a large dynamic measurement range simultaneously. The Algorithm is based on an accurate model of the characteristics of a fiber-optic sensor that takes into account the phase shift that is due to the coupling of light reflected at the second surface to the lead-in fiber end.

Dong-soo Kwon - One of the best experts on this subject based on the ideXlab platform.

  • Signal Processing Algorithm for transmission-type Fabry-Pérot interferometric optical fiber sensor
    Smart Materials and Structures, 2001
    Co-Authors: Sang Hoon Kim, Jung-ju Lee, Dong-soo Kwon
    Abstract:

    The recently developed transmission-type extrinsic Fabry-Perot interferometric (TEFPI) optical fiber sensor can simply and effectively compensate for the difficult distinction of the measured direction of conventional EFPI optical fiber sensors. The TEFPI optical fiber sensor Signal is composed of fringes and Signal level variations, which correspond to the measured quantity and measured directions, respectively. In this paper, the Signal Processing Algorithm, the fringe tracking method, is presented for TEFPI optical fiber sensors with a Signal that differs from conventional interferometric sensors. The Algorithm is verified by application to simulated and experimental sensor Signals from strain measurements. The Algorithm successfully processed TEFPI optical fiber sensor Signals by finding the correct positions of peaks, valleys and Signal levels, and by calculating the exact measured quantity and directions.

Fabin Shen - One of the best experts on this subject based on the ideXlab platform.

  • frequency estimation based Signal Processing Algorithm for white light optical fiber fabry perot interferometers
    Applied Optics, 2005
    Co-Authors: Fabin Shen, Anbo Wang
    Abstract:

    A novel Signal-Processing Algorithm based on frequency estimation of the spectrogram of single-mode optical fiber Fabry–Perot interferometric sensors under white-light illumination is described. The frequency-estimation approach is based on linear regression of the instantaneous phase of an analytical Signal, which can be obtained by preProcessing the original spectrogram with a bandpass filter. This method can be used for a relatively large cavity length without the need for spectrogram normalization to the spectrum of the light source and can be extended directly to a multiplexed sensor system. Experimental results show that the method can yield both absolute measurement with high resolution and a large dynamic range. Performance analysis shows that the method is tolerant of background noise and variations of the source spectrum.

  • frequency estimation based Signal Processing Algorithm for white light optical fiber fabry perot interferometers
    Applied Optics, 2005
    Co-Authors: Fabin Shen, Anbo Wang
    Abstract:

    A novel Signal-Processing Algorithm based on frequency estimation of the spectrogram of single-mode optical fiber Fabry–Perot interferometric sensors under white-light illumination is described. The frequency-estimation approach is based on linear regression of the instantaneous phase of an analytical Signal, which can be obtained by preProcessing the original spectrogram with a bandpass filter. This method can be used for a relatively large cavity length without the need for spectrogram normalization to the spectrum of the light source and can be extended directly to a multiplexed sensor system. Experimental results show that the method can yield both absolute measurement with high resolution and a large dynamic range. Performance analysis shows that the method is tolerant of background noise and variations of the source spectrum.

  • Signal Processing Algorithm for white light optical fiber extrinsic fabry perot interferometric sensors
    Optics Letters, 2004
    Co-Authors: Ming Han, Fabin Shen, Yan Zhang, Gary Pickrell, Anbo Wang
    Abstract:

    We present a novel Signal-Processing Algorithm for single-mode optical fiber extrinsic Fabry–Perot interferometric sensors that can achieve both high-resolution, absolute measurement of the cavity length and a large dynamic measurement range simultaneously. The Algorithm is based on an accurate model of the characteristics of a fiber-optic sensor that takes into account the phase shift that is due to the coupling of light reflected at the second surface to the lead-in fiber end.

Sang Hoon Kim - One of the best experts on this subject based on the ideXlab platform.

  • Signal Processing Algorithm for transmission-type Fabry-Pérot interferometric optical fiber sensor
    Smart Materials and Structures, 2001
    Co-Authors: Sang Hoon Kim, Jung-ju Lee, Dong-soo Kwon
    Abstract:

    The recently developed transmission-type extrinsic Fabry-Perot interferometric (TEFPI) optical fiber sensor can simply and effectively compensate for the difficult distinction of the measured direction of conventional EFPI optical fiber sensors. The TEFPI optical fiber sensor Signal is composed of fringes and Signal level variations, which correspond to the measured quantity and measured directions, respectively. In this paper, the Signal Processing Algorithm, the fringe tracking method, is presented for TEFPI optical fiber sensors with a Signal that differs from conventional interferometric sensors. The Algorithm is verified by application to simulated and experimental sensor Signals from strain measurements. The Algorithm successfully processed TEFPI optical fiber sensor Signals by finding the correct positions of peaks, valleys and Signal levels, and by calculating the exact measured quantity and directions.

Ming Han - One of the best experts on this subject based on the ideXlab platform.