Detecting acoustic signals in the ocean is crucial for port and coastal security, but existing methods often require informative priors. This paper introduces a new approach that transforms acoustic signal detection into network characterization using a MCN construction method. The method constructs a network representation of the acoustic signal by measuring pairwise correlations at different time scales. It proposes a network spectrum distance method that combines information geometry and graph signal processing theory to characterize these complex networks. By comparing the spectra of two networks, the method quantifies their similarity or dissimilarity, enabling comparisons of multi-scale correlation networks constructed from different time series data and tracking changes in nonlinear dynamics over time. The effectiveness of these methods is substantiated through comprehensive simulations and real-world data collected from the South China Sea. The results illustrate that the proposed approach attains a significant detection probability of over 90% when the signal-to-noise ratio exceeds −18 dB, whereas existing methods require a signal-to-noise ratio of at least −15 dB to achieve a comparable detection probability. This innovative approach holds promising applications in bolstering port security, facilitating coastal operations, and optimizing offshore activities by enabling more efficient detection of weak acoustic signals.
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September 2023
September 11 2023
Remote passive acoustic signal detection using multi-scale correlation networks and network spectrum distance in marine environment
Hongwei Zhang;
Hongwei Zhang
a)
1
Key Laboratory of Ocean Acoustics and Sensing (Northwestern Polytechnical University), Ministry of Industry and Information Technology
, 127 Youyi West Road, Beilin District, Xi'an, Shaanxi 710072, China
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Haiyan Wang
;
Haiyan Wang
2
School of Electronic Information and Artificial Intelligence Shaanxi University of Science and Technology
, Weiyang University Park, Northern Suburb, Xi'an, Shaanxi 710021, China
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Xuanming Liang;
Xuanming Liang
3
China South Industries Group Corp. Shanghai Electric Control Research Institute
, 1380 Jiangpu Road, Yangpu District, Shanghai 200082, China
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Yongsheng Yan;
Yongsheng Yan
a)
1
Key Laboratory of Ocean Acoustics and Sensing (Northwestern Polytechnical University), Ministry of Industry and Information Technology
, 127 Youyi West Road, Beilin District, Xi'an, Shaanxi 710072, China
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Xiaohong Shen
Xiaohong Shen
a)
1
Key Laboratory of Ocean Acoustics and Sensing (Northwestern Polytechnical University), Ministry of Industry and Information Technology
, 127 Youyi West Road, Beilin District, Xi'an, Shaanxi 710072, China
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a)
Also at: School of Marine Science and Technology, Northwestern Polytechnical University,127 Youyi West Road, Beilin District, Xi'an, Shaanxi 710072, China.
b)
Email: hywang@sust.edu.cn
J. Acoust. Soc. Am. 154, 1563–1576 (2023)
Article history
Received:
March 30 2023
Accepted:
August 22 2023
Citation
Hongwei Zhang, Haiyan Wang, Xuanming Liang, Yongsheng Yan, Xiaohong Shen; Remote passive acoustic signal detection using multi-scale correlation networks and network spectrum distance in marine environment. J. Acoust. Soc. Am. 1 September 2023; 154 (3): 1563–1576. https://doi.org/10.1121/10.0020907
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