Infrared and Laser Engineering, Volume. 54, Issue 4, 20250023(2025)
Research on high-accuracy positioning method of long-distance asymmetric interferometric vibration sensing (invited)
Fig. 2. Schematic diagram of the processing algorithm for positioning
Fig. 3. Schematic diagram of the frequency allocation process in WSST
Fig. 4. Simulation analysis of the interference signals. (a) Two-channel interference signals; (b) Power spectrum of one of the interference signals; (c), (d) Time-frequency spectra of the interference signal based on the CWT and WSST; (e) The envelopes of absolute wavelet coefficients (EAWCs) of the two interference signals based on the CWT; (f) The mean modulus of the WSST (MMW) of the two interference signals
Fig. 5. TDE errors using the CWT and WSST positioning methods when the SNR is varied from 5 dB to 45 dB
Fig. 6. Time-frequency analysis of the interference signal. (a) CWT time-frequency spectrum of the interference signal; (b) WSST time-frequency spectrum of the interference signal
Fig. 7. Signal processing of the proposed WSST positioning method. (a) Two interference signal segments extracted from the CW and CCW directions; (b) Power spectrum of one of the interference signals; (c) Phase variation characteristic curves of the two interference signals; (d) Cross-correlation waveform of the phase variation characteristic curves
Fig. 8. Positioning results on the end of the armored fiber optic cable over 128 km long sensing fiber link. (a) Positioning errors based on the proposed WSST method; (b) Comparison of the distribution of positioning results based on the CWT and WSST method
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Xinxin HU, Kun LIU, Jianying JING, Kang XUE, Chaoxiang CHEN, Ziwen DU, Guixian LI, Junfeng JIANG, Tiegen LIU. Research on high-accuracy positioning method of long-distance asymmetric interferometric vibration sensing (invited)[J]. Infrared and Laser Engineering, 2025, 54(4): 20250023
Category: Invited research article
Received: Jan. 10, 2025
Accepted: --
Published Online: May. 16, 2025
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