SRP-PHAT multi-source spatial positioning method

A positioning method and source space technology, applied in positioning, measuring devices, instruments, etc., can solve problems such as low spatial resolution, unsatisfactory multi-sound sources, and susceptibility to reverberation

Inactive Publication Date: 2014-11-12
FOSHAN UNIVERSITY
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Problems solved by technology

The existing W-separation orthogonality assumption based on the sparsity of the speech signal does not satisfy multiple sound sources, resulting in low spatial

Method used

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  • SRP-PHAT multi-source spatial positioning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0179] Example 1 Localization of two sound sources

[0180] 1. Uniform circular array positioning model selection

[0181] The simulation experiment was simulated in different SNR and reverberation environments. The uniform circular array was placed in a room of 7m×8m×3.5m, and the spatial positions of the 8-element microphones were [-3.25, -1.6, 1.5], respectively. [-3.25, 1.1, 1.5], [-1.87, 3.75, 1.5], [1.0, 3.75, 1.5], [3.25, 1.8, 1.5], [3.25, -1.0, 1.5], [2.2, -3.75, 1.5] ], [-0.6, -3.75, 1.5].

[0182] 2. Selection of sound source

[0183] The sound source is a randomly generated speech signal, and the signal-to-noise ratio is 0-30dB. The random interference signal is a Gaussian signal, which is used to simulate the noise from the air-conditioning electric fan and the window. The noise power can be up to 10dB, and the corresponding reverberation time is determined by the reflection coefficient of the room wall, floor and ceiling.

[0184] 3. Perform short-time Fourier...

Embodiment 2 3

[0205] Example 2 Localization of three sound sources

[0206] When the number of sound sources is increased to 3, in the case of low signal-to-noise ratio, the problem of false spectral peaks cannot be solved well. Under the condition of high signal-to-noise ratio, it can basically solve the problem of false spectral peaks, and has better resolution ability for multiple sound sources.

[0207] The specific implementation steps are the same as those in Example 1, which are omitted here.

[0208] Figure 15 Shown is a two-dimensional image of three-source localization with a signal-to-noise ratio of 30dB.

[0209] Figure 16 , Figure 17 Shown are the sound source azimuth angles measured by the method proposed in this paper and the traditional SRP-PHAT method under the condition of high signal-to-noise ratio. The SRP-PHAT method based on approximate W-separated orthogonality can effectively solve the problem of false spectral peaks, and can distinguish three signal sources,...

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Abstract

The invention provides a SRP-PHAT multi-source spatial positioning method. The method comprises the steps that the number and spatial positions of all microphones in a uniform circular microphone array are assumed to be unchanged in the data obtaining process at first, the isotropous microphones are evenly distributed on a circumference which has the radius r and is located on an x-y plane, the direction of arrival of a plane wave s is expressed by polar coordinates, the original point of the coordinate system is located on a circle center position of the circular array, multiple sound source signals are divided into non-overlapped time frequency point sets, each time frequency window contains only one movable source signal, and weak W orthogonal separation conditions are met; a Hamming window is selected, a controllable response power function is calculated and a target function is obtained through a SRP-PHAT algorithm, wave beams are controlled to carry out scanning in all the possible receiving directions, and the wave beams output the direction value with the maximum power to obtain the direction of a sound source, so that the DOA estimation of the multiple sound sources has the better separating performance in the strong noise and moderate reverberation acoustic environment, the real peak value is obviously outstanding, and high positioning precision is achieved.

Description

technical field [0001] The invention relates to a space positioning method, in particular to a SRP-PHAT multi-source space positioning method, which is applied to systems such as video conferencing, voice enhancement, hearing aids, hands-free phones and intelligent robots. Background technique [0002] Sound source localization technology has broad application prospects in systems such as video conferencing, speech enhancement, hearing aids, hands-free phones, and intelligent robots, and has received more and more attention in recent years. [0003] At present, the steerable response power weighted by phase transformation (SRP-PHAT: Steered Response Power-Phase Transform) sound source localization algorithm has become the mainstream algorithm. This algorithm combines the advantages of steerable beamforming and GCC-PHAT. It has strong robustness under certain conditions. It has better performance for single sound source localization, but the biggest disadvantage is the large...

Claims

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Application Information

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IPC IPC(8): G01S5/18
CPCG01S5/20
Inventor 孙明
Owner FOSHAN UNIVERSITY
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