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Bayesian geoacoustic inversion using wind-driven ambient noise
Journal of the Acoustical Society of America
This paper applies Bayesian inversion to bottom-loss data derived from wind-driven ambient noise measurements from a vertical line array to quantify the information content constraining seabed geoacoustic parameters. The inversion utilizes a previously proposed ray-based representation of the ambient noise field as a forward model for fast computations of bottom loss data for a layered seabed. This model considers the effect of the array's finite aperture in the estimation of bottom loss and isdoi:10.1121/1.3688482 pmid:22501046 fatcat:itaqa5yz2vainfkhfr4kwgg2uq