Multi-Modal Signal Analysis for Underwater Acoustic Sound Processing
Canadian Conference on Electrical and Computer Engineering
localization, shallow underwater environment, signal processing, sound source localization, underwater noise, underwater signal 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.
Talebpour, Faraz; Mozaffari, Saeed; Saif, Mehrdad; and Alirezaee, Shahpour. (2022). Multi-Modal Signal Analysis for Underwater Acoustic Sound Processing. Canadian Conference on Electrical and Computer Engineering, 2022-September, 300-305.