Fast Geo-Acoustic Inversion of Ambient Noise Using Differential Evolution
conference paper
Two global optimization methods, viz. a genetic algorithm (GA) and differential evolution (DE), are considered. Their performances are assessed using a test function, demonstrating superior performance of DE. Additionally, the DE optimal setting is determined. As a next step DE is applied for determining the geo-acoustic properties of the upper seabed sediments from simulated reflection loss, indicating good DE performance also for real geo-acoustic inversion problems. As a final step DE is applied to the inversion of measured reflection loss, inferred from the vertical directivity of ambient noise measured on a drifting vertical line array (VLA). The availability of this efficient global optimization technique allows for inverting large data sets. Here, the dataset consists of 3540 snapshots of ambient noise. Inversion of the corresponding 3540 reflection loss measurements provides the geo-acoustic parameters along the VLA track. An alternative analysis of the data consists of Fourier transforming the measured reflection coefficient, thereby determining the thicknesses of the layers in the seabed. Comparison of the layering determined by inversion and by Fourier transformation shows good agreement.
TNO Identifier
223253
Source title
Proceedings of the Eight European Conference on Underwater Acoustics - 8th ECUA, 12-15 June, 2006, Carvoeiro, Portugal
Editor(s)
Jesus, S.M.
Rodriguez, O.C.
Rodriguez, O.C.
Files
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