Multi-Modal Signal Analysis for Underwater Acoustic Sound Processing

Acoustic sound source localization in a shallow water environment is an impactful area of research for environmental and marine-life monitoring. Most available sound source localization techniques require multiple hydrophones, which can be costly, complicated, and hard to maintain. In this paper, we utilized the modal dispersions of a signal to derive a single hydrophone-based localization method for a noisy, shallow water environment. Moreover, we investigated the effects of underwater ambient noise on the accuracy of the proposed method. Our proposed method can select multi-modals for localization to increase accuracy in low SNR environments. We evaluated our proposed method in various SNRs. Finally, we compared our results with previous works, which showed improvement.