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High-resolution positioning method for rotating sound source

A high-resolution, positioning method technology, used in positioning, special data processing applications, complex mathematical operations, etc., can solve problems such as low resolution, poor real-time performance, inability to accurately locate the location of the instantaneous sound source, and achieve high positioning accuracy. , the effect of improving the accuracy

Active Publication Date: 2019-04-26
ZHEJIANG UNIV
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Problems solved by technology

[0007] Most of the existing technologies for rotating sound source localization have the problems of low resolution and poor real-time performance, especially for low-frequency signals, it is impossible to accurately locate the position of each instantaneous sound source

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  • High-resolution positioning method for rotating sound source
  • High-resolution positioning method for rotating sound source
  • High-resolution positioning method for rotating sound source

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Embodiment Construction

[0091] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. For the experimental methods without specific conditions indicated in the following examples, the conventional conditions or the conditions suggested by the manufacturer are usually followed.

[0092] This embodiment uses MATLAB simulation, and the flow of the high-resolution positioning method for rotating sound sources is as follows figure 1 As shown, the specific steps include:

[0093] (1) if figure 2 As shown, set 1.2×1.2m 2 The square grid scanning plane of is the plane where the imaginary sound source is located. Among them, each small grid is 0.02×0.02m 2 (not shown in the figure).

[0094] Such as figure 2 As shown, three simulated sound sources are set up, the initial co...

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Abstract

The invention discloses a high-resolution positioning method for a rotating sound source. The method includes the steps that a sound source scanning grid plane and a microphone array are set, a soundsignal of the to-be-measured sound source is collected and used as an original sound signal, frequency spectrum and time-frequency spectrum analysis is conducted, and the signal frequency of the original signal is obtained; the obtained original sound signal is divided into multiple sub signals, and the number of sampling points contained in each sub signal is larger than or equal to the minimum number of sampling points needed when the sound source is positioned; the sub signals are substituted into a Capon wave beam forming algorithm for calculation, all grids of the sound source scanning plane are scanned one by one, and the position of the to-be-measured sound source within a corresponding time period of each sub signal is determined; repeated substitution and scanning are conducted todetermine the position of the to-be-measured sound source within the time period corresponding to the original sound signal. In the method, the time domain sampling points are subjected to segmentation processing, the position of the rotating sound source can be determined at one transient movement, and under a low signal-to-noise ratio, good positioning precision can be still kept.

Description

technical field [0001] The invention relates to the technical field of acoustic signal processing, in particular to a high-resolution positioning method for rotating sound sources. Background technique [0002] Sound source localization uses acoustic signal sensors such as hydrophones and microphones to collect sound signals, and then locates the position and energy information of the target sound source through a series of processing algorithms. At present, the localization algorithms commonly used in the field of sound source localization are mainly divided into beamforming algorithms and spectral estimation methods. [0003] The spectral estimation method uses eigenvalue decomposition or subarray translation invariance to estimate spectral peaks. Although the spectral estimation algorithm has very good spatial resolution, this excellent performance can only be obtained under ideal conditions, and the number of sound sources needs to be known in advance, so the algorithm ...

Claims

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Application Information

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IPC IPC(8): G01S5/20G06F17/14G06F17/16
CPCG01S5/20G06F17/142G06F17/16
Inventor 初宁黄乾汪琳琳宁岳吴大转
Owner ZHEJIANG UNIV
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