A hybrid approach for ocean acoustic tomography in range dependent environments based on statistical characterization of the acoustic signal and the identification of modal arrivals

نویسندگان

  • Michael I. Taroudakis
  • Costas Smaragdakis
چکیده

A hybrid approach for problems of ocean acoustic tomography is presented, based on the statistical characterization (SC) of the acoustic signal followed by a mode identification and linear inversion. The statistical characterization is used for the estimation of a reference solution to the inverse problem of estimating the sound speed profile in the water column. This non-linear inversion problem is solved using a Genetic Algorithm. By applying first order perturbation approach, variations of the sound speed profile are associated with modal travel time variations. This relationship provides the framework for the development of an iterative linear inversion scheme which converges when the reference environment is close to the actual one and provides a fine tuning of the results obtained by the non-linear inversions. The performance of the method is demonstrated by means of a simulated experiment in range-dependent environment representing a cold eddy.

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تاریخ انتشار 2014