On the use of matched-field processing and hybrid algorithms for vertical slice tomography

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Abstract
Matched-field processing and a hybrid scheme for vertical slice tomography are studied in characteristic cases of range-independent and range-dependent ocean environments using simulated data obtained at discrete points in the sound field along a vertical line, representing a vertical array of hydrophones. The matched-field processing is associated with a Genetic Algorithm, while the basic characteristic of the hybrid scheme is the application of matched-field processing for the definition of a reference environment to be subsequently used in connection with a modal-phase inversion scheme. In all cases studied, the sound-speed profiles are reconstructed with the use of empirical orthogonal functions. It is shown that the reconstruction of either the single sound-speed profile characterizing the range-independent environment, or the set of profiles characterizing an eddy in the range-dependent environment is achieved with good accuracy, despite the fact that a very wide search space has been considered. The apparent nonuniqueness in the solution of the inverse problem for the range-dependent case is remedied by applying physical constraints in the structure of the sea eddy and averaging over the admissible solutions obtained by the matched-field inversion scheme.

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