Method for calibrating space angle of acoustic image plane in acoustic field visualization system

Abstract

The invention relates to a method for calibrating the space angle of an acoustic image plane in an acoustic field visualization system. The method comprises the following steps: 1) creating a microphone array and a camera, defining coordinate systems, and measuring the space position of the origin of the coordinate system of the camera in the coordinate system of the microphone array; 2) calibrating the camera to obtain internal parameters; 3) arranging an acoustic source at a place d in front of the camera, and slowly moving the acoustic source to obtain the acoustic signal of the moved acoustic source and a real image; 4) reconstructing the acoustic signal to obtain the acoustic pressure chromatogram map of the moved acoustic source, obtaining the microphone array and reconstructing an acoustic source pixel position; 5) carrying out distortion correction on the real image shot by the camera by virtue of the internal parameters of the lens of the camera according to the nonlinear model of the distortion of the lens, and obtaining the acoustic source pixel position shot by the camera; 6) carrying out superposition matching on the distortionless real image and the corresponding acoustic pressure chromatogram map, and solving the space angle relationship between an acoustic plane and the plane of the real image by virtue of a simple-target optimization algorithm. The method disclosed by the invention can be widely applied to processing for an acoustic field noise.

Description

technical field [0001] The invention relates to a method for calibrating the spatial angle of an acoustic image plane in a sound field visualization system, and belongs to the technical field of noise analysis and control. Background technique [0002] Noise problem is one of the main factors affecting people's quality of life in modern society. To deal with noise in a targeted manner, it is first necessary to accurately identify and locate the sound source and sound field. Among the many noise identification methods, the sound field visualization technology can make the identification and positioning of the sound source and sound field more intuitive, and can provide a reliable basis for noise control. [0003] In the traditional sound field visualization technology, the camera is usually fixed at the center of the microphone array, and the shooting angle and range of the camera are limited. If the camera is separated from the microphone array, the shooting angle and rang...

AI Technical Summary

Problems solved by technology

However, when the two are separated, the relationship between their spatial positions and angles will cause the sound field reconstruction plane to not coincide with the camera shooting plane, affecting the accuracy of sound source localization

For the spatial position relationship, traditional measuring tools can be used for accurate measurement, but for the spatial angular relationship, there is no traditional method for accurate measurement

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