Inversion of Arctic dual-channel sound speed profile based on random airgun signal

📅 2025-08-09
📈 Citations: 0
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🤖 AI Summary
In the Arctic Canadian Basin and Chukchi Shelf, long-range low-frequency acoustic propagation is significantly affected by horizontally heterogeneous double-channel sound-speed profiles. Method: This paper proposes a passive sound-speed profile inversion method using single-hydrophone recordings of random airgun signals. It introduces a novel two-parameter sound-speed profile representation model and integrates refractive normal-mode dispersion structure extraction to effectively decouple horizontal variability effects. Contribution/Results: Compared with conventional full-profile inversions, the method drastically reduces parameter dimensionality and improves computational efficiency. Field experiments in the Arctic demonstrate that the approach rapidly and robustly reconstructs the double-channel sound-speed structure using only a single hydrophone. It validates high practicality and low-cost deployability, establishing a new paradigm for acoustic oceanographic observation in polar regions.

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📝 Abstract
For the unique dual-channel sound speed profiles of the Canadian Basin and the Chukchi Plateau in the Arctic, based on the propagation characteristics of refracted normal modes under dual-channel sound speed profiles, an inversion method using refracted normal modes for dual-channel sound speed profiles is proposed. This method proposes a dual-parameter representation method for dual-channel sound speed profiles, tailored to the characteristics of dual-channel sound speed profiles. A dispersion structure extraction method is proposed for the dispersion structure characteristics of refracted normal modes under dual-channel sound speed profiles. Combining the parameter representation method of sound speed profiles and the dispersion structure extraction method, an inversion method for dual-channel sound speed profiles is proposed. For the common horizontal variation of sound speed profiles in long-distance acoustic propagation, a method for inverting horizontally varying dual-channel sound speed profiles is proposed. Finally, this article verifies the effectiveness of the dual-channel sound speed profile inversion method using the Arctic low-frequency long-range acoustic propagation experiment. Compared with previous sound speed profile inversion methods, the method proposed in this article has the advantages of fewer inversion parameters and faster inversion speed. It can be implemented using only a single hydrophone passively receiving random air gun signals, and it also solves the inversion problem of horizontal variation of sound speed profiles. It has significant advantages such as low cost, easy deployment, and fast computation speed.
Problem

Research questions and friction points this paper is trying to address.

Inversion method for Arctic dual-channel sound speed profiles
Dispersion structure extraction for refracted normal modes
Horizontal variation inversion of sound speed profiles
Innovation

Methods, ideas, or system contributions that make the work stand out.

Inversion method using refracted normal modes
Dual-parameter representation for dual-channel profiles
Single hydrophone passive signal reception
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Jinbao Weng
Laboratory of Ocean acoustics and Remote Sensing, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, Fujian 361005, China; Fujian Provincial Key Laboratory of Marine Physical and Geological Processes, Xiamen, Fujian 361005, China
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Westlake University
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Hongtao Zhou
Laboratory of Ocean acoustics and Remote Sensing, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, Fujian 361005, China; Fujian Provincial Key Laboratory of Marine Physical and Geological Processes, Xiamen, Fujian 361005, China
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Benqing Chen
Laboratory of Ocean acoustics and Remote Sensing, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, Fujian 361005, China; Fujian Provincial Key Laboratory of Marine Physical and Geological Processes, Xiamen, Fujian 361005, China
Dewei Xu
Dewei Xu
Laboratory of Ocean acoustics and Remote Sensing, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, Fujian 361005, China; Fujian Provincial Key Laboratory of Marine Physical and Geological Processes, Xiamen, Fujian 361005, China
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Ruichao Xue
Laboratory of Ocean acoustics and Remote Sensing, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, Fujian 361005, China; Fujian Provincial Key Laboratory of Marine Physical and Geological Processes, Xiamen, Fujian 361005, China
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Caigao Zeng
Laboratory of Ocean acoustics and Remote Sensing, Third Institute of Oceanography, Ministry of Natural Resources, Xiamen, Fujian 361005, China; Fujian Provincial Key Laboratory of Marine Physical and Geological Processes, Xiamen, Fujian 361005, China