Movable noise source recognizing method based on local near field acoustical holography method

Abstract

The invention belongs to the field of noise like sound field reconstruction and visualization, and particularly relates to a movable noise source recognizing method based on a local near field acoustical holography method. The movable noise source recognizing method includes the steps that sound pressure on a measuring plane H is measured; Doppler effect removal is carried out on the sound pressure obtained through measuring to obtain sound pressure, not containing the Doppler effect, on the measuring plane H; zero padding expansion is performed on the sound pressure on the measuring plane H to obtain sound pressure on a measuring plane H+; a transmission matrix between the sound pressure on the measuring plane H+ and the sound pressure on a reconstruction plane S is calculated; the sound pressure on the reconstruction plane S is solved. Based on the local near field acoustical holography method, the movable noise source recognizing method has the advantages of being simple in calculation, short in calculation time, high in calculation efficiency and the like compared with a traditional method.

Description

technical field [0001] The invention belongs to the field of noise-like sound field reconstruction and visualization, and in particular relates to a mobile noise source identification method of a local near-field acoustic holography method. Background technique [0002] Local near-field acoustic holography is an important sound source localization and sound field visualization technology. In actual measurement, this technology only needs to use a small measurement aperture to reconstruct the sound field of a large-scale sound source, which can effectively reduce the window effect and volume. However, this method cannot deal with the sound field reconstruction of moving large-scale sound sources. Therefore, people combine this technology with mobile frame acoustic holography to solve the problem of sound field reconstruction of large-scale moving sound sources. Existing technologies include: (1) Mobile sound source identification method based on statistical optimal near-field...

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Problems solved by technology

This method combines the characteristics of the statistical optimization method and the moving frame technology, and can reconstruct the sound field of the moving sound source under the condition of local measurement. The disadvantage of this method is that it is affected by the matrix calculation, the calculation time is long, and the calculation process is complicated. (2) Mobile sound source identification method based on improved statistical optimal near-field acoustic holography technology ("Journal of Sound and Vibration" (2012 Issue 331))

This method is improved on the basis of the statistical optimal near-field acoustic holography technology. Through comparison with existing methods, it is found that this method can obtain better reconstruction accuracy and smaller reconstruction error. However, this method still cannot avoid the problem of large-scale matrix calculation, and the calculation time is still long

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