Abstract

An accurate evaluation of the inception of propeller cavitation is a prerequisite for the prediction of the underwater radiated noise performance of ships. Current work treats the acoustic localization for incipient cavitation using the compressive sensing (CS) method. Orthogonal matching pursuit (OMP) based on a greedy algorithm is employed to tackle the CS localization problem owing to its low computational cost, making it appropriate for online applications. The application of singular value decomposition (SVD) is also suggested to identify the number of independent sources, which is crucial for initializing the algorithm. The established procedure is verified using experimental data acquired in a cavitation tunnel facility.

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