Sound source positioning method based on novel orthogonal matching pursuit algorithm

Abstract

The invention relates to the field of the identification and positioning of a noise source and particularly relates to a sound source positioning method based on a novel orthogonal matching pursuit algorithm. The method comprises a step of forming a measuring surface, a step of collecting sound pressure data at each sensor, a step of forming a focusing surface and obtaining a focusing point, a step of establishing a relationship between a sound source source-intensity vector and a microphone array sound pressure measurement value, a step of solving a sound source recognition model and obtaining the sound source source-intensity of each grid point of the focusing surface, and a step of identifying and positioning a sound source according to a module of the obtained sound source source-intensity of each grid point. According to the invention, the atomic selection process of the orthogonal matching pursuit algorithm is improved, therefore, the algorithm reconstruction performance under the condition of strong correlation between atoms is improved, the resolution of the sound source recognition is further improved, the high-resolution positioning of the sound source in a strong correlation environment is achieved, and at the same time, the ability to recognize low frequency and medium frequency signals is also effectively improved.

Description

technical field [0001] The invention relates to the field of identification and location of noise sources, in particular to a sound source location method based on a novel orthogonal matching pursuit algorithm. Background technique [0002] Noise source identification technology has a wide range of applications in mechanical equipment fault diagnosis, environmental noise control, and automotive NVH development, and has gradually developed a variety of advanced noise sources such as beamforming, near-field acoustic holography, and deconvolution sound source imaging. recognition technology. However, limited by the Nyquist sampling theorem, the above-mentioned noise source identification technologies need to cooperate with an acoustic array with a large number of sensors to obtain good identification results, resulting in high hardware costs for developing a noise source identification system. In recent years, the emergence of compressed sensing theory has broken through the l...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the deficiencies of the above-mentioned prior art and provide a sound source localization method based on a novel orthogonal matching pursuit algorithm, which solves the problem that the existing orthogonal matching pursuit noise source identification algorithm is susceptible to the inter-atomic correlation of the transfer matrix impact, and the disadvantages of poor identification of medium and low frequency sound sources and low resolution

Images