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Volume 40 Issue 1
Nov.  2015
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Research of signal recognition of distributed optical fiber vibration sensors

  • Corresponding author: LIU Hai, hailiu@hust.edu.cn
  • Received Date: 2014-10-22
    Accepted Date: 2014-11-20
  • In order to identify the invasion of vibration signal, a recognition algorithm based on Mel frequency cepstral coefficients (MFCC) was introduced according to the feature of vibration signal, taking processing method of voice signal as a reference and comparing with original spectrum analysis algorithm based on fast Fourier transform (FFT) after the investigation of distributed optical fiber vibration sensor and vibration signal recognition technology.。In the new algorithm, the vibration signal was analyzed in frequency domain. MFCC under different conditions was extracted and was taken as a new characteristic parameter. After comparing the experimental results, false alarm rates of both the algorithms are 27.5% and 7.5% respectively. The results show that false alarm rate of the algorithm based on MFCC can be reduced by 20% or more compared with the algorithm based on FFT. Obviously, under the premise of not omitting, MFCC algorithm with lower false alarm rate is more suitable for security systems.
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  • [1]

    WANG H, SUN Q Zh, LI X L, et al. Progress in optical fiber interferometer based distributed vibration sensing technology[J].Laser Optoelectronics Progress, 2013, 50(2):30-41(in Chinese).
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    LI X L, SUN Q Zh, WO J H, et al. Hybrid TDM/WDM-based fiber-optic sensor network for perimeter intrusion detection[J]. Journal of Lightwave Technology, 2012, 30(8):1113-1120.
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    HU Zh S, YANG Q H, QIAO B. Design of interference distributed fiber-optic underwater long gas pipeline leakage detection system[J]. Laser Optoelectronics Progress, 2012, 49(7):73-77(in Chinese).
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    HE C F, ZHENG X Q, LUO J W, et al. Research on a pipeline leakage detection system and its stability based on depolarized Sagnac fiber interferometer[J]. Chinese Journal of Lasers, 2012, 39(2):148-152(in Chinese).
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    HANG L J, HE C F, WU B. A new pipeline leakage detection system based on linear optical fiber Sagnac interferometer and its location technology[J].Chinese Journal of Lasers, 2007,34(6):820-824(in Chinese).
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    GE S X. Research on distributed fiber optic vibration sensor[D].Hangzhou:Zhejiang University, 2012:1-13(in Chinese).
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    WAN X, DU T T, ZHANG Zh M, et al. Positioning approach based on Mach-Zehnder fiber sensors and a DSP processor[J].Proceedings of the SPIE, 2013, 9044:90440T.
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    LV X Y, WANG H X. Abnormal audio recognition algorithm based on MFCC and short-term energy[J].Journal of Computer Applications, 2010, 30(3):796-798(in Chinese).
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    HAN Y, WANG G Y, YANG Y. Speech emotion recognition based on MFCC[J]. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 2008, 20(5):597-602(in Chinese).
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    TIAN Sh Sh, TANG W, SHE W. Research of improved MFCC parameters in signer-independent speech recognition[J].Bulletin of Science and Technology, 2013, 29(3):139-142(in Chinese).
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Research of signal recognition of distributed optical fiber vibration sensors

    Corresponding author: LIU Hai, hailiu@hust.edu.cn
  • 1. School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China

Abstract: In order to identify the invasion of vibration signal, a recognition algorithm based on Mel frequency cepstral coefficients (MFCC) was introduced according to the feature of vibration signal, taking processing method of voice signal as a reference and comparing with original spectrum analysis algorithm based on fast Fourier transform (FFT) after the investigation of distributed optical fiber vibration sensor and vibration signal recognition technology.。In the new algorithm, the vibration signal was analyzed in frequency domain. MFCC under different conditions was extracted and was taken as a new characteristic parameter. After comparing the experimental results, false alarm rates of both the algorithms are 27.5% and 7.5% respectively. The results show that false alarm rate of the algorithm based on MFCC can be reduced by 20% or more compared with the algorithm based on FFT. Obviously, under the premise of not omitting, MFCC algorithm with lower false alarm rate is more suitable for security systems.

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