Method for locating identification and acoustic radiation prediction of underwater complex-structure radiation noise source on basis of unit radiation approach

Abstract

The invention belongs to the field of underwater detection and particularly relates to a method for locating identification and acoustic radiation prediction of an underwater complex-structure radiation noise source on the basis of a unit radiation approach. The method comprises the following steps of establishing a vibration sound transmission matrix, wherein a sound transmission modeling approach based on a unit radiation superposition approach is used, a radiation sound field of a piston on the surface of a regular baffle is adopted for simulating a radiation sound field of a piston on thesurface of an actual baffle, and a sound transmission matrix G of the surface of a target structure at a normal vibration velocity to the actual radiation sound field is obtained according to an analytical expression of the radiation sound field of the piston on the surface of the regular baffle; obtaining sound source distribution of the target structure, wherein a vibration sound transmission regularization matrix is adopted for solving an ill-posed problem of a noise source positioning recognition algorithm, an array is adopted for receiving data and a vibration sound transmission matrix ofvibration from the structural surface to a measurement matrix, and the vibration velocity distribution on the surface of a sound source of the target structure is obtained in combination with a Tikhonov regularization approach. The method overcomes the limitation of traditional point source spherical expansion sound transmission models and has higher accuracy and a wider application range.

Description

technical field [0001] The invention belongs to the field of underwater detection, and in particular relates to a method for locating and identifying radiation noise sources of complex underwater structures and forecasting acoustic radiation based on a unit radiation method. Background technique [0002] In order to reduce the radiated noise of underwater vehicles (submarines, torpedoes, UUVs, etc.), it is necessary to carry out noise source location identification and radiation sound field prediction research, determine the spatial distribution of main noise sources, and find out the impact of various noise sources on aircraft radiated noise. contribute. At present, the more commonly used noise source identification technologies include near-field acoustic holography and beamforming. [0003] Near-field acoustic holography (NAH) measures the sound pressure or particle velocity on the near-field holographic surface of the sound source, and uses the sound field transformatio...

AI Technical Summary

Problems solved by technology

However, the above-mentioned generalized inverse beamforming algorithm can only identify centralized or distributed sound sources with well-known sound source types, and requires the array measurement surface to be conformal to the sound source surface, otherwise it may lead to wrong sound source reconstruction results. There are still limitations in the test of radiation noise source of large underwater moving target structure

[0006] To sum up, all current noise source identification technologies regard the target sound source as an independently distributed point source, and use the spherical spread function model of the point source, ignoring the baffle effect of the continuously distributed structural sound source, which is different from the actual structural sound source. There are differences in the radiative propagation model

Therefore, none of the above algorithms fundamentally solves the problem of differences from the actual structure-borne sound radiation propagation model. Due to the mismatch between the traditional point source spherical spread function and the actual target structure sound source, it will lead to accurate identification results of complex types of sound sources with continuous distribution. greatly reduced sex

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