A two-network deep learning system for active sonar, separating angle estimation from distance estimation, beats classical beamforming and spectrogram classifiers on simulated data.
How- ever, in the field of underwater acoustics, there is a chal- lenge of data scarcity, mainly due to high costs, long acquisition times, and data security concerns
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Angle-distance decomposition based on deep learning for active sonar detection
A two-network deep learning system for active sonar, separating angle estimation from distance estimation, beats classical beamforming and spectrogram classifiers on simulated data.