Using Generalized Cross-Correlation estimators for leak signal velocity estimation and spectral region of operation selection

Glentis, George-Othon; Angelopoulos, Kostas

doi:10.1109/i2mtc48687.2022.9806476

Cited by 4 publications

(1 citation statement)

References 20 publications

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“…The generalized cross-correlation method [ 8 , 9 , 10 , 11 , 12 , 13 , 14 ] has the advantages of simple principle, high stability, and a small amount of computation when dealing with the delay estimation problem, so it has received extensive attention. However, this method has poor anti-noise ability.…”

Section: Introductionmentioning

confidence: 99%

Optimization Algorithm for Delay Estimation Based on Singular Value Decomposition and Improved GCC-PHAT Weighting

Wang

et al. 2022

Sensors

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The accuracy of time delay estimation seriously affects the accuracy of sound source localization. In order to improve the accuracy of time delay estimation under the condition of low SNR, a delay estimation optimization algorithm based on singular value decomposition and improved GCC-PHAT weighting (GCC-PHAT-ργ weighting) is proposed. Firstly, the acoustic signal collected by the acoustic sensor array is subjected to singular value decomposition and noise reduction processing to improve the signal-to-noise ratio of the signal; then, the cross-correlation operation is performed, and the cross-correlation function is processed by the GCC-PHAT-ργ weighting method to obtain the cross-power spectrum; finally, the inverse transformation is performed to obtain the generalized correlation time domain function, and the peak detection is performed to obtain the delay difference. The experiment was carried out in a large outdoor pool, and the experimental data were processed to compare the time delay estimation performance of three methods: GCC-PHAT weighting, SVD-GCC-PHAT weighting (meaning: GCC-PHAT weighting based on singular value decomposition) and SVD-GCC-PHAT-ργ weighting (meaning: GCC-PHAT-ργ weighting based on singular value decomposition). The results show that the delay estimation optimization algorithm based on SVD-GCC-PHAT-ργ improves the delay estimation accuracy by at least 37.95% compared with the other two methods. The new optimization algorithm has good delay estimation performance.

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Section: Introductionmentioning

confidence: 99%

Optimization Algorithm for Delay Estimation Based on Singular Value Decomposition and Improved GCC-PHAT Weighting

Wang

et al. 2022

Sensors

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Frequency-Domain Generalized Phase Transform Method in Pipeline Leaks Locating

Faerman

Voevodin

Avramchuk

2023

Communications in Computer and Information Science

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A new rapid positioning strategy for the impact-point using dynamic mode decomposition and time difference of arrival ^*

Bi¹,

Huang²,

Wang³

et al. 2023

Meas. Sci. Technol.

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In outdoor shooting range experiments, locating the projectile impact point is typically done through manual search, which can be time-consuming and costly. To improve experimental efficiency and reduce costs, this paper proposes a new approach for localizing the impact point using the dynamic mode decomposition (DMD) extension method and time difference of arrival (TDOA) based on seismic waves. The DMD extension method is applied to one-dimensional seismic signals. Additionally, diagonal averaging is applied to recover the reconstructed matrix, which could achieve better noise reduction than conventional singular value decomposition and empirical mode decomposition methods. Numerical simulations are then conducted to analyze the impact point positioning model, resulting in an absolute location error within 20 m in a 1000 m square area. The work demonstrates that the joint positioning algorithm combining on DMD and TDOA achieves high positioning accuracy, making it a promising tool for future experiments on outdoor shooting ranges.

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Using Generalized Cross-Correlation estimators for leak signal velocity estimation and spectral region of operation selection

Cited by 4 publications

References 20 publications

Optimization Algorithm for Delay Estimation Based on Singular Value Decomposition and Improved GCC-PHAT Weighting

Optimization Algorithm for Delay Estimation Based on Singular Value Decomposition and Improved GCC-PHAT Weighting

Frequency-Domain Generalized Phase Transform Method in Pipeline Leaks Locating

A new rapid positioning strategy for the impact-point using dynamic mode decomposition and time difference of arrival ^*

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Using Generalized Cross-Correlation estimators for leak signal velocity estimation and spectral region of operation selection

Cited by 4 publications

References 20 publications

Optimization Algorithm for Delay Estimation Based on Singular Value Decomposition and Improved GCC-PHAT Weighting

Optimization Algorithm for Delay Estimation Based on Singular Value Decomposition and Improved GCC-PHAT Weighting

Frequency-Domain Generalized Phase Transform Method in Pipeline Leaks Locating

A new rapid positioning strategy for the impact-point using dynamic mode decomposition and time difference of arrival *

Contact Info

Product

Resources

About

A new rapid positioning strategy for the impact-point using dynamic mode decomposition and time difference of arrival ^*