Real-time sound field separation method using sound pressure and particle acceleration measurements

Abstract

The invention discloses a real-time sound field separation method adopting sound pressure and mass point acceleration measurement. The real-time sound field separation method is characterized in that a measurement plane H and a measurement plane H1 which are parallel are arranged between a target sound source and a interference sound source, and sound pressure time-domain signals on the measurement planes are synchronously acquired; a mass point acceleration time-domain signal on the measurement plane H is obtained by utilizing sound pressure time-domain signals on the measurement planes and adopting a finite difference method; a sound pressure time-domain wave number spectrum, a mass point acceleration time-domain wave number spectrum and a known time-domain impulse response function on the measurement plane H are utilized to separate a individually-radiated sound pressure time-domain wave number spectrum of the target sound source on the measurement plane H in real time, and further individually-radiated sound pressure time-domain signals of the target sound source on the measurement plane H are obtained. The real-time sound field separation method does not need any inversion and regularization operation, is high in computation speed and stability, has the real-time sound field separation effect and can be used for field analysis of time-varying radiation characteristics of the target sound source in a noise interference environment.

Description

technical field [0001] The invention relates to a sound field separation method in the field of noise in the specialty of physics. Background technique [0002] In actual engineering, the target sound source is located on one side of the measurement plane, and there are often interfering sound sources on the other side of the measurement plane. The sound field generated by these interfering sound sources affects the accurate measurement of the sound field radiated by the target sound source. Therefore, it is necessary to adopt a certain sound field separation method to separate the influence of the interfering sound source from the measurement results. So far, scholars at home and abroad have proposed a variety of sound field separation methods, which can be roughly divided into five categories: One is the sound field separation technology based on the spatial Fourier transform (SFT): G.V.Frisk et al. first proposed in 1980 to use The SFT method indirectly measures the refl...

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Problems solved by technology

However, the use of regularization makes the separation method time-consuming, and the separation accuracy largely depends on the reasonable selection of regularization parameters.

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