A two-network deep learning system for active sonar, separating angle estimation from distance estimation, beats classical beamforming and spectrogram classifiers on simulated data.
Un- like other methods that directly use images as input fea- tures, we utilize phase information as the input feature representation in this research
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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.