Microphone array sound source localization method based on frequency correction

A microphone array and sound source localization technology, applied in positioning, instruments, measuring devices, etc., can solve the problems of positioning frequency deviation and inaccurate positioning results, and achieve the effects of avoiding frequency errors, reducing data length, and improving calculation efficiency

Pending Publication Date: 2022-06-03
HANGZHOU AIHUA INSTR
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention solves the problem of inaccurate positioning results caused by positioning frequency deviation in the existing sound source localization method, and provides a microphone array sound source localization method based on frequency correction. When determining the input frequency of beamforming, the method of ratio correction is adopted to avoid the frequency error caused by signal truncation and frequency resolution. When performing sound source localization analysis, due to the existence of frequency correction, each The data length of FFT analysis of each channel improves the calculation efficiency of the algorithm

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Microphone array sound source localization method based on frequency correction
  • Microphone array sound source localization method based on frequency correction
  • Microphone array sound source localization method based on frequency correction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

This embodiment proposes a microphone array sound source localization method based on frequency correction, refer to figure 1 and figure 2 , including the following steps:

Step S1, acquiring original time domain data of the multi-channel microphone array; wherein the multi-channel microphone array is a two-dimensional plane array, and the data length selected from the original time domain data is an integer power of 2.

[0022] Step S2, filter each channel of the microphone array; the used FIR filter can better preserve the phase information of the original signal.

[0023]Step S3, calculate the reference channel data spectrum and the maximum value of the frequency spectrum and its location; Step S31, select a channel in the microphone array as the reference channel P, take out the original audio data X (n) of the reference channel P, X ( The length of n) is 512;

Step S32, processing X(n) with a Hanning window, and the expression of the Hanning window is:

In step S3...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a microphone array sound source localization method based on frequency correction. The microphone array sound source localization method comprises the following steps: S1, acquiring original time domain data of a multi-channel microphone array; s2, filtering each channel of the microphone array; s3, calculating a reference channel data spectrum; s4, calculating the corrected frequency by adopting a ratio correction method; s5, calculating a data cross spectrum matrix according to the corrected frequency; s6, calculating a guide vector from the scanning surface to the array surface, and obtaining a sound source intensity distribution diagram of the scanning surface according to the cross-spectrum matrix; s7, performing interpolation processing on the sound source intensity distribution diagram by adopting a linear interpolation method; and S8, superposing the interpolated sound source intensity distribution diagram with the video data. A ratio correction method is adopted, frequency errors caused by signal truncation and frequency resolution are avoided, when sound source positioning analysis is carried out, due to the fact that frequency correction exists, the data length of FFT analysis of each channel can be reduced, and the calculation efficiency of an algorithm is improved.

Description

technical field [0001] The invention relates to the field of microphone array sound source localization, in particular to a microphone array sound source localization method based on frequency correction. Background technique [0002] In industrial production, the location of noise sources has always been the focus of attention. For running equipment, if the location of abnormal sound sources can be found without stopping the equipment, it will effectively improve the equipment detection efficiency. Microphone array acoustic imaging is a kind of non-contact sound source imaging device. The microphone array is easily interfered by background noise during signal processing, and the frequency band range of the background noise is generally low. If other noise interference cannot be effectively excluded, the obtained sound source localization frequency will be deviated. When calculating the frequency of the array signal, using the fast Fourier transform to calculate the frequen...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01S5/22
CPCG01S5/22
Inventor 毛志德张凯帆张静阚雪珍
Owner HANGZHOU AIHUA INSTR
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products