\r\nhave seen an increasing demand for quieter ships in order to fulfil

\r\ncurrent regulations and to reduce the effects on marine life. Hence,

\r\nnew methods dedicated to the characterization of propeller noise,

\r\nwhich is the main source of noise in the far-field, are needed. The

\r\nstudy of cavitating propellers in closed-section is interesting for

\r\nanalyzing hydrodynamic performance but could involve significant

\r\ndifficulties for hydroacoustic study, especially due to reverberation

\r\nand boundary layer noise in the tunnel. The aim of this paper

\r\nis to present a numerical methodology for the identification of

\r\nhydroacoustic sources on marine propellers using hydrophone arrays

\r\nin a large hydrodynamic tunnel. The main difficulties are linked to the

\r\nreverberation of the tunnel and the boundary layer noise that strongly

\r\nreduce the signal-to-noise ratio. In this paper it is proposed to estimate

\r\nthe reflection coefficients using an inverse method and some reference

\r\ntransfer functions measured in the tunnel. This approach allows to

\r\nreduce the uncertainties of the propagation model used in the inverse

\r\nproblem. In order to reduce the boundary layer noise, a cleaning

\r\nalgorithm taking advantage of the low rank and sparse structure of the

\r\ncross-spectrum matrices of the acoustic and the boundary layer noise

\r\nis presented. This approach allows to recover the acoustic signal even

\r\nwell under the boundary layer noise. The improvement brought by

\r\nthis method is visible on acoustic maps resulting from beamforming

\r\nand DAMAS algorithms.", "references": null, "publisher": "World Academy of Science, Engineering and Technology", "index": "International Science Index 122, 2017" }