Maximum entropy inference of seabed properties using waveguide invariant features from surface ships

Autor: D. P. Knobles, T. B. Neilsen, P. S. Wilson, W. S. Hodgkiss, J. Bonnel, Y. T. Lin
Rok vydání: 2022
Předmět:
Zdroj: The Journal of the Acoustical Society of America. 151:2885-2896
ISSN: 0001-4966
DOI: 10.1121/10.0010372
Popis: Acoustic data were recorded on two vertical line arrays (VLAs) deployed in the New England Mud Patch during the Seabed Characterization Experiment 2017 in about 75 m of water. The sound recorded during the passage of merchant ships permits identification of singular points for the waveguide invariant β for mode pairs [Formula: see text], in the 15–80 Hz band. Using prior geophysical information and an acoustic data sample from the merchant ship KALAMATA, a geoacoustic model [Formula: see text] of the seabed was developed. Then, using data samples from other merchant ships, a feature-ensemble maximum entropy method is employed to infer the statistical properties of geoacoustic parameter values for the sound speeds in a surface mud layer and a deep sand layer. Technical challenges include a sparsity of observed singular points, the unique identification of mode pairs for an observed singular point, and the deviation of the waveguide from horizontal stratification. A geoacoustic model [Formula: see text] is developed that reproduced the observed [Formula: see text] for f
Databáze: OpenAIRE