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Direct Localization in Underwater Acoustics via Convolutional Neural Networks: A Data-Driven Approach
Direct localization (DLOC) methods, which use the observed data to localize a source at an unknown position in a one-step procedure, generally outperform their indirect two-step counterparts (e. g., using time-difference of arrivals).
A Semi-Blind Method for Localization of Underwater Acoustic Sources
We also derive the Cram\'er-Rao bound for this model, which can be used to guide the placement of collections of receivers so as to optimize localization accuracy.
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