Design and Implementation of Visualized Underwater Noise Source Recognition System

visualized underwater noise source recognition method is an effective acoustic field inversion, which can directly obtain the spatial distribution of underwater structural noise sources. Aiming at the problem that there are many kinds of noise sources and complex spectrum components of underwater weapons, the noise source recognition system based on a single algorithm can’t satisfy the practical engineering application simultaneously, a visualized recognition system of underwater noise sources is designed by combining beamforming and near-field acoustic holography on the virtual instrument software platform LabVIEW. By analyzing the relationships of the distribution of propagation wave and evanescent wave in underwater acoustic field with the measured distance and the radiation frequency, the variation rule of the propagation and evanescent waves in underwater acoustic field is obtained, and the evanescent wave propagation distance is hence determined. The visualized noise source recognition method is studied under different measurement distance, radiation frequency and array size. Visualization experiment of noise source recognition is conducted in terms of channel calibration, data acquisition, sound field beam directivity, sound field reconstruction data analysis, and noise source visualization on different frequency bands. The experimental results verify the effectiveness of the present system, which implies that the system is applicable to practical engineering.