Method for eliminating Doppler effect

Abstract

The invention discloses a method for eliminating a Doppler effect, which is characterized by comprising the steps of respectively building a fixed coordinate system and a moving coordinate system in the space; setting a measuring plane under the fixed coordinate system in a moving sound source radiation sound field, and measuring and acquiring sound pressure signals containing a Doppler effect of each measuring point in the measuring plane at a receiving moment by using microphones; building a relative relation of coordinate values of each measuring point under the two coordinate systems according to a movement relation between the coordinate systems; calculating a relative relation between the sound pressure signals containing the Doppler effect and sound pressure signals not containing the Doppler effect in a time domain-wave number domain combining the relative relation of the two coordinate systems according to a priori condition that the measured sound pressure signals are equal under the two coordinate systems; acquiring the sound pressure signals not containing the Doppler effect of each measuring point by combining numerical Fourier transform operation according to the sound pressure signals containing the Doppler effect measured at each measuring point; and finally realizing elimination of the Doppler effect. The method does not need to predict the number and position of sound sources and is efficient and accurate.

Description

technical field [0001] The invention relates to a method for eliminating the Doppler effect in the field of noise in the specialty of physics, more specifically a method for eliminating the Doppler effect in the time domain-wavenumber domain. Background technique [0002] Noise analysis is an important method for condition monitoring and fault diagnosis of mechanical parts. However, when the mechanical parts are in a moving state, the effectiveness of its diagnosis will be greatly reduced. The main reason is the Doppler effect caused by the relative motion between the mechanical parts and the microphone. The Doppler effect will cause amplitude distortion and frequency shift to the collected acoustic signal, which will seriously affect the diagnostic effect. Therefore, how to accurately eliminate the Doppler effect is of great significance to the diagnosis of moving mechanical parts. At present, the methods to eliminate the Doppler effect mainly include frequency domain met...

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Problems solved by technology

However, these methods have some defects in eliminating the Doppler effect. For example, the resampling method needs to perform interpolation and fitting calculation on the signal, and the calculation efficiency is low. The non-linear time mapping method and the de-Doppler effect based on the complete Morse acoustic model method requires the initial location information of the sound source, making it limited in practical applications

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