Distributed optical fiber vibration sensor using generalized cross-correlation algorithm

Wang, Yu; Li, Peihong; Zhang, Jianguo; Liu, Xin; Bai, Qing; Wang, Dong; Zhang, Mingjiang; Jin, Baoquan

doi:10.1016/j.measurement.2019.04.092

Cited by 20 publications

(7 citation statements)

References 23 publications

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“…Common weighting functions and their characteristics [45][46][47][48][49] are shown in Table 1. e principle block diagram of the generalized crosscorrelation delay estimation algorithm is shown in Figure 13.…”

Section: Fcm-generalized Quadratic Correlationmentioning

confidence: 99%

Research on Underwater Sound Source Localization Based on NLM-EEMD and FCM-Generalized Quadratic Correlation

Wang

et al. 2022

Shock and Vibration

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The accuracy of underwater sound source localization depends on the preprocessing effect of signal denoising and delay estimation performance. In order to meet the needs of high-precision underwater positioning, this article studies a time delay estimation method based on nonlocal mean-enforced mean empirical mode decomposition (NLM-EEMD) autocorrelation denoising preprocessing and fuzzy C-means clustering (FCM)-generalized quadratic for underwater sound source localization technology. The theories such as NLM, EEMD, FCM, and generalized quadratic correlation delay estimation are studied in detail, and the speech signal of the test library in the TIMIT standard library is selected for simulation analysis, which verifies the correctness of the delay estimation method. Experiments were carried out in a larger outdoor pool. The analysis results show that the NLM-EEMD adaptive denoising method effectively reduces noise interference and improves the quality of EEMD decomposition and the FCM-generalized quadratic correlation method increases the correlation between two signals. The time delay estimation accuracy is improved, and the positioning accuracy is 48.66% higher than that of the direct generalized cross-correlation method.

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Section: Fcm-generalized Quadratic Correlationmentioning

confidence: 99%

Research on Underwater Sound Source Localization Based on NLM-EEMD and FCM-Generalized Quadratic Correlation

Wang

et al. 2022

Shock and Vibration

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“…The second is the expected time delay method, based on the correlation of arrays generated from two signals from loops of different known lengths or with another variant of delay [ 1 ]. The third method uses the time delay method between oppositely directed sensory loops [ 3 ]. However, the literature does not cover the issue of studying the sensitivity features of such systems.…”

Section: Introductionmentioning

confidence: 99%

“…It is extremely difficult to determine the position of the low spectral density points or to find out the periodicity of spectrum modulation in the case of high noise. To provide good localization it is necessary to have some prior information about the position of the “null frequency” points, which is possible in a laboratory setup with a stated disturbance position assembled [ 3 ] or if the disturbance position can be obtained as a result of a numerical simulation [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

“…One more method for disturbance localization is based on determining a time delay between signals from two counter loops of the same lengths. Two loops of a SI are formed, using MZIs with a difference L M between the arms that exceeds the coherence length of a radiation source, and Faraday mirrors (FRM) [ 3 , 18 ], as shown in Figure 3 , or by using light polarization state multiplexing [ 19 , 20 ]. Thus, two SI loops are formed based on linear sections, which are located oppositely.…”

Section: Introductionmentioning

confidence: 99%

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Distributed Acoustic Sensor Using a Double Sagnac Interferometer Based on Wavelength Division Multiplexing

Zhirnov

Choban

Stepanov

et al. 2022

Sensors

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We demonstrated a fiber optic distributed acoustic sensor based on a double Sagnac interferometer, using two wavelengths separated by CWDM modules. A mathematical model of signal formation principle, based on a shift in two signals analysis, was described and substantiated mathematically. The dependence of the sensor sensitivity on a disturbance coordinate and frequency was found and simulated, and helped determine a low sensitivity zone length and provided sensor scheme optimization. A data processing algorithm without filtering, appropriate even in case of a high system noise level, was described. An experimental study of the distributed fiber optic sensor based on a Sagnac interferometer with two wavelengths divided countering loops was carried out. An accuracy of 24 m was achieved for 25.4 km SMF sensing fiber without phase unwrapping.

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“…The notion of cross‐correlation is introduced in digital signal processing and often used to study the similarity of two signals or the similarity of the signal itself, in order to achieve signal detection, recognition, extraction etc. [19–22]. Motivated by this, aiming at the scenario of cyber attacks, a detector based on cross‐correlation of causal sequence is designed for the multi‐sensor non‐linear networked system.…”

Section: Introductionmentioning

confidence: 99%

Distributed fusion estimation for non‐linear networked systems with random access protocol and cyber attacks

Wang

et al. 2020

IET Control Theory & Appl

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Distributed optical fiber vibration sensor using generalized cross-correlation algorithm

Cited by 20 publications

References 23 publications

Research on Underwater Sound Source Localization Based on NLM-EEMD and FCM-Generalized Quadratic Correlation

Research on Underwater Sound Source Localization Based on NLM-EEMD and FCM-Generalized Quadratic Correlation

Distributed Acoustic Sensor Using a Double Sagnac Interferometer Based on Wavelength Division Multiplexing

Distributed fusion estimation for non‐linear networked systems with random access protocol and cyber attacks

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