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Ref.: OCEANS MTS/IEEE, Singapore (Malaysia), April 2020
Abstract: Underwater source localization based on acoustic modeling has been a subject of intensive research since a long time. Many works have devoted to provide accurate estimates of both source range and depth based on normal-mode or ray tracing models combined with Matched-Field Processing (MFP) techniques. This work discusses the use of parabolic equation models for 3D source localization, including range, depth and azimuth. The accuracy of this approach is tested using data from the stationary source in the SACLANTCEN 1993 Mediterranean Experiment. In order to avoid environmental mismatch and improve the speed of inversion, the two-dimensional model RAMgeo is used for estimation of the environmental parameters. Since the geometric, sound speed profile and geoacoustic parameters cannot be decoupled, the GA preprocessor in SAGA was first used to jointly estimate these types of parameters. The experimental setup and the baseline environmental model can be found in the literature, thus it is not repeated here. As shown in TABLE I. The optimization was carried out using 16 parameters. It should be noted that the sound speed profiles is described by the Empirical Orthogonal Function (EOF), in which the first 5 items are taken into account. For each parameter the search space was quantized into different increments according to prior knowledge. Analysis of the posteriori probability distribution of the estimated parameters has shown that the mean is the most robust, thus it was used as the parameter estimate.
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