A wavelet-based detection of active segments in optical interferometer signal caused by fibre strain

  • Authors:
  • Sebastijan Šprager;Boris Cigale;Denis Donlagić;Damjan Zazula

  • Affiliations:
  • University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia;University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia;University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia;University of Maribor, Faculty of Electrical Engineering and Computer Science, Maribor, Slovenia

  • Venue:
  • ACELAE'11 Proceedings of the 10th WSEAS international conference on communications, electrical & computer engineering, and 9th WSEAS international conference on Applied electromagnetics, wireless and optical communications
  • Year:
  • 2011
  • Heartbeat detection applying activity index on optical interferometric signal

    IMMURO'12 Proceedings of the 11th WSEAS international conference on Instrumentation, Measurement, Circuits and Systems, and Proceedings of the 12th WSEAS international conference on Robotics, Control and Manufacturing Technology, and Proceedings of the 12th WSEAS international conference on Multimedia Systems & Signal Processing

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Abstract

In this paper a wavelet-based method is presented for detection of active segments in optic interferometer signals which are caused by fibre strain. Active segments appear as high-frequency content in time-frequency representation of optic signals. These segments are extracted by using continuous wavelet transformation with Mexican hat wavelet function. The aim of our experiment was based on a controllable strain of optic fibre by using step motor. Seven experimental trials were performed with different patterns of step-motor activation. Due to the nature of optic signal the proposed method successfully located all active segments with average delays of 5.16±2.33 and minimum delays of 1.49±0.43. This accuracy proves the proposed method can reliably segment optic-fibre strain signals.