Portable Noise Source Detection Device Fused with Involute Array and FPGA

Abstract

A portable noise source detection device integrating involute array and FPGA, comprising: front panel, chassis, microphone array, camera, FPGA processing module, display screen, detachable handle and positioning tripod, wherein: front panel, microphone array, The chassis is fixedly connected in turn, the camera is fixedly arranged inside the front panel, the FPGA processing module is fixedly arranged inside the chassis, the display screen and two detachable handles are fixedly arranged at the rear end of the chassis, and the chassis is fixedly connected to the tripod. The microphone array configuration of the present invention is obtained based on an algorithm with high positioning accuracy and strong Robustness, combined with sound source positioning technology and visual display technology, it can realize the real-time display of the position of the sound source point in the camera picture, and complete the sound analysis of different scenes. While visually monitoring the source location, it has portability, light weight and high environmental adaptability.

Description

technical field [0001] The invention relates to a microphone array field and a beam-forming super-resolution high-precision processing technology, in particular to a portable noise source detection device integrating an involute array and an FPGA parallel processor. Background technique [0002] The sound source localization technology combined with the visual display technology can complete the real-time display of the position of the sound source point, and display the sound event completely and clearly. The field of application of the noise source detection device is very wide. For example, the detection and location of machine noise in large factories; the detection of abnormal noise in cars and indoors; the whistle capture of vehicles on urban roads; the cough detection in public places under the background of the new coronavirus epidemic. [0003] However, the disadvantage of the existing technology is that a single sound source localization technology combined with a...

AI Technical Summary

Problems solved by technology

[0003] However, the disadvantage of the existing technology is that a single sound source localization technology combined with a corresponding microphone array can provide high positioning accuracy, but when the sound source localization technology and visual display technology are combined in the noise source detection device, due to the size of the microphone array and the Due to the limitation of space computing resources, it is difficult for noise source detection devices to balance positioning accuracy and portability, and to adapt to different measurement scenarios

When super-resolution algorithms such as DAMAS are used to locate and image sound sources, it is necessary to reverse iteratively solve the point spread function matrix. Since the number of array microphones is often much smaller than the number of virtual sound sources on the scanning surface, the general condition number of the point spread function matrix is Extremely high, highly underdetermined and ill-conditioned, it will amplify the error of the inverse solution of the matrix, resulting in erroneous estimation errors of the position and intensity of the sound source.

Traditional array design does not consider the requirements of super-resolution imaging, and does not consider the influence of microphone distribution on the ill-conditioned point spread function matrix, resulting in the problem of low super-resolution positioning and imaging accuracy

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