Acoustic estimation of seafloor parameters: A radial basis functions approach
Author(s) -
Andrea Caiti,
S. M. Jesus
Publication year - 1996
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.415994
Subject(s) - inversion (geology) , series (stratigraphy) , inverse , geology , gaussian , radial basis function , inverse problem , basis function , computer science , basis (linear algebra) , seafloor spreading , taylor series , underwater acoustics , acoustics , smoothness , algorithm , underwater , mathematics , mathematical analysis , geophysics , geometry , artificial neural network , seismology , physics , artificial intelligence , paleontology , quantum mechanics , tectonics , oceanography
A novel approach to the estimation of seafloor geoacoustic parameters from the measurement of the acoustic field in the water column is introduced. The approach is based on the idea of approximating
the inverse function that links the geoacoustic parameters with the measured field through a series
expansion of radial basis functions. In particular, Gaussian basis functions are used in order to
ensure continuity and smoothness of the approximated inverse. The main advantage of the proposed
approach relies on the fact that the series expansion can be computed off-line from simulated data
as soon as the experimental configuration is known. Data inversion can then be performed in true
real time as soon as the data are acquired. Simulation results are presented in order to show the
advantages and limitations of the method. Finally, some inversion results from horizontal towed
array data are reported, and are compared with independent estimates of geoacoustic bottom
properties
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