Research on the Methods of Underwater Vehicle Noise Source Identification

In order to verify the feasibility of the noise source identification method for underwater moving vehicle, an underwater sound source simulated test system was designed, which is simple and practically easy to implement. In the reservoir test, dynamic data were collected, which obviously have Doppler effect. The performances of the Conventional Beamforming (CBF) and the Deconvolution Approach for the Mapping of Acoustic Source (DAMAS) method which computes the position of the moving sound source are compared and analyzed in the experiment. The results show that the Direction of Arrival (DOA) deviation of both CBF and DAMAS are less than 0.20. DAMAS has better performance and it is comparatively more suitable for underwater vehicle noise source identification.