Sound field separation method based on least square method of Helmholtz equation

Abstract

The invention aims at providing a sound field separation method based on a least square method of a Helmholtz equation. The sound field separation method comprises the following steps: acquiring a sound pressure on a measurement surface; resampling the sound pressure on the measurement surface to obtain different measuring point groups; decomposing the sound pressures generated by a sound source Aand a sound source B at each measuring point according to a sound pressure expansion formula in an HELS acoustic holography method, and establishing a transmission relationship between the sound pressures of the two sound sources on the measurement surface; establishing a transfer matrix between the measurement surface and the sound source surface; and performing singular value decomposition on the transfer matrix to obtain the sound pressure generated by the sound source A on the measurement surface or any position, thereby realizing sound field separation. According to the invention, the single measurement surface and the HELS method are used for sound field separation and reconstructionand only the sound pressure data of the single measurement surface need to be collected, so that thecollection workload and the collection cost are reduced; the number of needed measurement points is small, the calculation efficiency is high, and the implementation mode is simple.

Description

technical field [0001] The invention relates to a noise control method, in particular to a sound field separation method. Background technique [0002] In actual engineering measurement, there are often interference sources near the object to be measured. In order to analyze the radiation characteristics of the target sound source, it is necessary to separate the sound field. The existing sound field separation methods are divided into the following categories according to the measurement methods: (1) separation based on double-layer sound pressure measurement surfaces; (2) separation based on double-layer particle velocity measurement surfaces; (3) separation based on single-layer sound pressure- Particle velocity measurement surface separation. It can be seen from the above three methods that all the existing methods use the composite measurement value as the input value of the sound field separation method, that is, to obtain one kind of physical information on two measu...

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Problems solved by technology

As can be seen from the above three methods, the existing methods all use the composite measurement value as the input value of the sound field separation method, that is, to obtain one kind of physical information on two measurement surfaces or to obtain two kinds of information on one measurement surface, and the required information is much , the acquisition cost is high, and the implementation process is complicated

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