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For depth localization, we use matched-mode processing, a technique that widely demonstrated its performance in a shallow water environment.
The reference acoustic field needed for depth localization is simulated with a new realistic propagation model.
For depth localization an estimation of mode excitation factors is needed.
We also propose a method of estimation of the source spectrum, which is very important for depth localization using Matched-Mode Processing.
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The reference acoustic field needed for depth localization is simulated with the new realistic propagation modelMoctesuma.
Theoretical performances of depth localization for the studied environment and for all source depths are presented in Figure 14 (each vertical line corresponds to a contrast function ).
In Figure 16 we show the result of depth localization.
Therefore, adding mode sign information to mode excitation factor modulus improves significantly the performance of depth localization (shown on examples in Section 6). Figure 14 Theoretical ambiguity functions for matched-mode localization.
Finally, results of distance and depth localization for mono and multidimensional method are presented on simulated data.
In this study, we combined DCA with L1 regularization, and also with L2 regularization, to examine which combined approach provided us with an improved spatial resolution and depth localization for DOT.
Localization properties are also adequate both for the y coordinate, and for the depth z dependence.
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