Title :
Statistical characterization of weak scattering fields with inverse methods
Author :
Xenaki, Angeliki ; Gerstoft, P. ; Carriere, Olivier ; Mosegaard, Klaus
Author_Institution :
Dept. of Appl. Math. & Comput. Sci., Tech. Univ. of Denmark, Lyngby, Denmark
Abstract :
In an acoustic backscattering model of a stationary field of volume inhomogeneities, a stochastic description of the field is more useful than a deterministic description due to the complex nature of the field. A method based on linear inversion is developed to infer information about the statistical properties of the scattering field from the obtained cross-spectral matrix.
Keywords :
acoustic wave scattering; statistical analysis; stochastic processes; underwater sound; acoustic backscattering model; cross-spectral matrix; deterministic description; inverse methods; linear inversion; stationary field; statistical characterization; statistical properties; stochastic description; volume inhomogeneities; weak scattering fields; Arrays; Covariance matrices; Eigenvalues and eigenfunctions; Focusing; Scattering; Sensors; Vectors;
Conference_Titel :
Oceans - San Diego, 2013
Conference_Location :
San Diego, CA
