A sound source localization method and system using a moving circular microphone array

A microphone array and sound source localization technology, which is applied to direction finders, positioning, and radio wave measurement systems using ultrasonic/sonic/infrasonic waves, and can solve problems such as bulky and bulky systems, increased costs, and deterioration of the Bessel zero point problem , to achieve the effect of small size, improved positioning performance and low cost

Active Publication Date: 2022-03-08
INST OF ACOUSTICS CHINESE ACAD OF SCI
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  • Application Information

AI Technical Summary

Problems solved by technology

Increasing the size of the array and the number of array elements can effectively improve the sound source localization performance, but doing so will lead to: worsening Bessel zero problem, increased cost and bulky system

Method used

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  • A sound source localization method and system using a moving circular microphone array
  • A sound source localization method and system using a moving circular microphone array
  • A sound source localization method and system using a moving circular microphone array

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Embodiment 1

[0068] Embodiment 1 of the present invention proposes a sound source localization method using a mobile ring microphone array, and the specific steps include:

[0069] Step 1) Acquisition of frequency domain separation signal X q,m (k); including:

[0070] Step 1-1) as figure 1 As shown, a circular microphone array is set, the number of microphones is M=9, the microphones are located on a circle with a semi-longitude of r=6cm, and the circular array is placed parallel to the ground. The circular array is moved to Q different spatial positions sequentially and measured. At the qth spatial position, the time-domain signal collected at the mth microphone is x q,m (t); q=1,...,Q; m=1,...,M;

[0071] Step 1-2) For time domain signal x q,m (t) Perform framing, windowing and Fourier transform in sequence to obtain the corresponding frequency separation signal X q,m (k);

[0072] Step 2) Estimate the local sound field coefficient

[0073] Step 2-1) Construct transformation m...

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Abstract

The invention discloses a sound source localization method using a mobile ring microphone array, the method is realized by a ring microphone array, the number of microphones in the array is M, and the array is placed parallel to the ground; the method includes: The center moves to Q different spatial positions, and the height does not change; obtain the frequency separation signal collected by the mth microphone at the qth spatial position; estimate the local sound field coefficient of each spatial position according to the M frequency separation signals; use According to the spatial transformation relationship of the sound field coefficient, the global sound field coefficient of each frequency point is estimated according to the obtained local sound field coefficient; the sound source direction is estimated according to the obtained global sound field coefficient. The method of the invention fully collects sound field information in a space range much larger than the aperture of the array by moving a circular microphone array, thereby improving the performance of sound source localization.

Description

technical field [0001] The invention relates to the field of array signal processing, in particular to a sound source localization method and system using a moving circular microphone array. Background technique [0002] Sound source localization has a wide range of applications in smart speakers, robots, video conferencing, and security. Traditional sound source localization methods in the array element domain are divided into two categories: indirect and direct methods. The indirect method first calculates the relative time delay from the sound source to each array element, and then determines the direction of the sound source according to the geometric shape of the array; the direct method needs to calculate the loss function on a series of candidate directions, and then estimate the most likely direction according to Loss functions can be divided into controllable response power methods, maximum likelihood methods and subspace-like methods. [0003] Different from the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S5/28G01S5/20G01S3/80
CPCG01S5/28G01S5/20G01S3/80
Inventor 韩欣宇吴鸣韩泽瑞杨军
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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