• Laser & Optoelectronics Progress
  • Vol. 57, Issue 13, 130005 (2020)
Haoyu Ma1、2, Xiaxiao Wang1、2, Fu Ma1、2、*, and Jia Yu1、2
Author Affiliations
  • 1School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China
  • 2Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, Beijing 100191, China
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    DOI: 10.3788/LOP57.130005 Cite this Article Set citation alerts
    Haoyu Ma, Xiaxiao Wang, Fu Ma, Jia Yu. Research Progress of Φ-OTDR Distributed Optical Fiber Acoustic Sensor[J]. Laser & Optoelectronics Progress, 2020, 57(13): 130005 Copy Citation Text show less
    Basic structure of Φ-OTDR[4]
    Fig. 1. Basic structure of Φ-OTDR[4]
    Direct detection block diagram[8]
    Fig. 2. Direct detection block diagram[8]
    First Φ-OTDR system block diagram based on direct detection[9]
    Fig. 3. First Φ-OTDR system block diagram based on direct detection[9]
    Φ-OTDR optical fiber distributed sensing system based on high power ultra-narrow linewidth single mode fiber laser[12]
    Fig. 4. Φ-OTDR optical fiber distributed sensing system based on high power ultra-narrow linewidth single mode fiber laser[12]
    Direct detection structure based on Michelson interferometer[16]
    Fig. 5. Direct detection structure based on Michelson interferometer[16]
    Direct detection structure based on 3×3 Michelson interferometer[17]
    Fig. 6. Direct detection structure based on 3×3 Michelson interferometer[17]
    Heterodyne detection block diagram[8]
    Fig. 7. Heterodyne detection block diagram[8]
    Distributed disturbance sensing system with super long monitoring distance[28]
    Fig. 8. Distributed disturbance sensing system with super long monitoring distance[28]
    Sensing system structure combined with unbalanced 3×3 coupler[30]
    Fig. 9. Sensing system structure combined with unbalanced 3×3 coupler[30]
    Discharge positioning system[34]
    Fig. 10. Discharge positioning system[34]
    PGC-DCM algorithm block diagram
    Fig. 11. PGC-DCM algorithm block diagram
    PGC-Arctan algorithm block diagram
    Fig. 12. PGC-Arctan algorithm block diagram
    PGC-RCM algorithm block diagram[42]
    Fig. 13. PGC-RCM algorithm block diagram[42]
    Block diagram of PGC demodulation algorithm based on asymmetric processing
    Fig. 14. Block diagram of PGC demodulation algorithm based on asymmetric processing
    3×3 coupler method block diagram[44]
    Fig. 15. 3×3 coupler method block diagram[44]
    Digital IQ demodulation algorithm block diagram
    Fig. 16. Digital IQ demodulation algorithm block diagram
    Schematic diagram of 90° optical mixing[50]
    Fig. 17. Schematic diagram of 90° optical mixing[50]
    YearReferenceFeatureMain indicator
    1998Ref. [9]Set up the first Φ-OTDR for direct detection6 km sensing fiber 400 m spatial resolution
    2003Ref. [10]Combined with M-Z interferometer using erbium-doped fiber laser source12 km sensing fiber, 1 km positioning accuracy, 5.6 dB SNR
    2005Ref. [11]Improved erbium-doped fiber laser source19 km sensing fiber,200 m spatial resolution
    2008Ref. [12]Using high-power ultra-narrow linewidth single-mode fiber laser14 km sensing fiber, 50 m positioning accuracy,12 dB SNR
    2009Ref. [13]Combining two-way Raman amplification technology with M-Z interferometer, and using FRP to encapsulate special fiber62 km sensing distance, 100 m spatial resolution
    2013Ref. [14]Short distance, high accuracy1.25 km sensing fiber,monitor 39.5 kHz signal, 5 m spatial resolution
    2015Ref. [15]Usethree circulators at the same time66.92 km monitoring distance
    2015Ref. [16]Using Michelson interferometer10 km sensing fiber,6 m spatial resolution, 30.45 dB SNR
    2015Ref. [17]Using 3×3 Michelson interferometer29.6 dB SNR,multi-signal detection within 200 m
    2017Ref. [18]Application in water pipeline inspection96.7% leak recognition rate
    2018Ref. [19]Combined with Gaussian model positioning scheme to achieve adaptive vibration positioning9.8 km sensing fiber, 5 m spatial resolution, 5-2.5 kHz frequency range, 1 Hz resolution
    2018Ref. [20]Practical research on urban water pipeline monitoring2 km sensing fiber, 10 m spatial resolution, worked in both water and soil
    2019Ref. [21]Application on coalbed methane pipeline10 km pipeline, 20 m spatial resolution
    Table 1. Development of direct detection structures
    YearReferenceFeatureMain indicator
    2005Ref. [6]Propose and build Φ-OTDR for heterodyne detection structure1.2 km sensing fiber,5 m spatial resolution
    2011Ref. [22]Based on polarization maintaining and using linear induction fiber1 m spatial resolution
    2011Ref. [23]Based on digital coherent detection3.5 km sensing fiber
    2012Ref. [24]Using phase-shifted double pulse technique and unbalanced Michelson interferometer4 km sensing fiber,20 dB SNR
    2012Ref. [25]Combined with wavelet transform technology, using two erbium-doped fiber amplifiers1 km sensing fiber,0.5 m spatial resolution,20 Hz-8 kHz frequency response
    2013Ref. [26]Using 3×3 coupler, cross multiplication and resolver1 km sensing fiber,2 m spatial resolution,500 Hz-5 kHz frequency range,tracks trains up to 360 km/h
    2013Ref. [27]Using M-Z interferometer and two acousto-optic modulators1150 m monitoring scope,6.3 MHz frequency range
    2014Ref. [28]Ultra-long monitoring distance128 km sensing fiber,15 m spatial resolution
    2014Ref. [29]Combining anti-pumped first-order Raman amplification technology, anti-pumped Brillouin amplification technology, and co-pumped second-order Raman amplificationtechnology175 km sensing fiber,25 m spatial resolution
    2017Ref. [30]Using an unbalanced 3×3 Michelson interferometer56 dB SNR,50-2075 Hz frequency range
    2017Ref. [31]Using frequency sweep pulse technology19.8 km sensing fiber,30 cm spatial resolution
    2019Ref. [32]Using phase difference method and two laser light sources45 km sensing fiber,10 cm spatial resolution,37.7 dB SNR
    2019Ref. [33]Using PDM-BDSK code and M-Z interferometerLong distance, high sensitivity, high bandwidth
    2019Ref. [34]Application of Michelson interferometer to GIL discharge positioning systemOvercome the intrusiveness, high cost, and low resolution of traditional systems
    Table 2. Development of heterodyne detection structure
    YearReferenceFeatureBreakthrough
    1982Ref. [37]First proposed homodyne passive demodulationPioneer in passive homodyne demodulation
    1982Ref. [45]Propose using 3×3 coupler for signal demodulationPioneer in 3×3 coupler demodulation
    1982Ref. [46]Constructingfiber interferometer structure with 3×3 couplerVerified 3×3 coupler demodulation
    2001Ref. [49]Applied for "digital quadrature amplitude modulation patent"Manufacturing of a fully digital QAM modulator
    2006Ref. [38]Developed PGC digital demodulation systemAvoid noise from analog circuits and improve signal-to-noise ratio
    2010Ref. [39]Proposed the PGC-DSM algorithmImprove signal-to-noise ratio and reduce harmonic distortion
    2013Ref. [27]Applying 3×3 coupler method to Φ-OTDR system2 m spatial resolution,excellent real-time responsiveness
    2016Ref. [40]Application of phase homodyne demodulation technology to optical fiber distributed acoustic sensing systemAchieved a phase sensitivity level of -151 dB at 600 Hz and a minimum sound pressure of 6 Pa
    2015Ref. [16]Combining PGC-Arctan demodulation technology with unbalanced Michelson interferometer10 km sensing fiber,6 m spatial resolution,30.45 dB SNR
    2015Ref. [17]Applying 3×3 coupler method to Φ-OTDR systemRealize multi-point simultaneous measurement and underwater measurement
    2015Ref. [41]Introducing anti-aliasing filters to improve the PGC-DSM algorithmReduce the minimum sampling rate and memory usage
    2016Ref. [42]Propose PGC-RCM demodulation algorithm and PGC demodulation algorithm based on asymmetric processingRCM enhances compensation for light intensity interference, visibility and modulation depth. Asymmetric processing of the PGC demodulation algorithm requires simple optical paths, reducing the effects of light intensity and modulation depth
    2016Ref. [50]Applying IQ algorithm based on 90 ° optical mixing to Φ-OTDR system10 m spatial resolution,34.1 dB SNR
    2016Ref. [51]Combining BPSK and QPSK encoding with IQ demodulation technologyAchieved an ultra-high 2.5 cm spatial resolution
    2017Ref. [31]Combining the 3×3 coupler method with a table lookup methodSignal-to-noise ratio above 56 dB and frequency response range of 2 kHz
    2017Ref. [52]Derive a pair of IQ signals directly from the light intensity signalOnly IQ demodulation algorithm that can be used for purely direct detection structures
    2018Ref. [43]Propose PGC-DMS demodulation algorithm, combined with dual pulse probeAchieved 24 dB SNR
    2018Ref. [48]A four-way detection system is used based on the 3×3 coupler method demodulationImproved the linearity of demodulation without changing the spatial resolution
    2018Ref. [53]Applying digital IQ demodulation algorithm to Φ-OTDR system based on single frequency drift compensationSuccessfully restore the weak low frequency signal of 5.89 nε, 0.05 Hz
    2018Ref. [54]Propose IQ demodulation algorithm based on clock homologyEffectively improve demodulation efficiency and signal-to-noise ratio
    Table 3. Development of phase demodulation algorithms
    Haoyu Ma, Xiaxiao Wang, Fu Ma, Jia Yu. Research Progress of Φ-OTDR Distributed Optical Fiber Acoustic Sensor[J]. Laser & Optoelectronics Progress, 2020, 57(13): 130005
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