Unknown sound source number DOA estimation method based on S transformation

A number and sound source technology, applied in complex mathematical operations, systems for determining direction or offset, direction finders using ultrasonic/sonic/infrasonic waves, etc. effect of number

Pending Publication Date: 2022-01-14
FUZHOU UNIV
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Problems solved by technology

The latter is based on the principle of frequency focusing, the most typical of which is the bilateral correlation transformation method. The decomposed signal is transformed to a unified reference frequency point through the focusing matrix, and then the DOA estimation is performed in a narrow-band manner. This processing method also makes The coherent signal subspace method needs to estimate the signal source angle, and the dependence of the focusing matrix on the estimated angle makes the final DOA estimation result biased

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  • Unknown sound source number DOA estimation method based on S transformation
  • Unknown sound source number DOA estimation method based on S transformation
  • Unknown sound source number DOA estimation method based on S transformation

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Embodiment Construction

[0055] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. Such as figure 1 Shown, the present invention provides a kind of unknown sound source number DOA estimation method based on S transform, comprises the following steps:

[0056] 1) In the sound field, arrange a uniform and linear array of microphones, use the data collector to collect a segment of voice signal synchronously, and obtain the array receiving signal;

[0057] 2) After setting the S-transform parameters according to the effective frequency band of the received signal, perform S-transform on the signal to obtain the S-transform result; the specific steps are as follows:

[0058] First define the received signal of the mth array element in the array as:

[0059]

[0060] P is the number of signal sources, s p (t) is the incident signal of P broadband signal sources, τ ...

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Abstract

The invention relates to an unknown sound source number DOA estimation method based on S transformation. According to the method, S transformation is carried out on voice signals, a time-frequency domain array signal model consistent with a traditional array model form is established, multi-resolution analysis is introduced, and the method has the advantages that a self-adaptive time-frequency window of wavelet transformation is achieved, and limitation of a wavelet transformation tolerance condition is eliminated; and then, according to the characteristic that power spectrum matrixes at different moments of a frequency band are of a joint diagonalization structure, the model is applied to a traditional method to obtain a new spatial spectrum, the spatial spectrum is based on an S transformation result, the problem that the number of signal sources needs to be preset in a traditional MUSIC is solved, and the DOA estimation precision is good.

Description

technical field [0001] The invention belongs to the field of voice signal location, in particular to an S-transform-based DOA estimation method for the number of unknown sound sources. Background technique [0002] Direction of Arrival (DOA) estimation based on sensor arrays has always been a research hotspot in the fields of sonar, radar, communication, and voice processing. However, the demand for modern technology development makes it no longer limited to traditional narrowband signal processing. Speech signal is a broadband non-stationary signal, and traditional narrowband signal processing cannot achieve high-precision positioning of the sound source. [0003] Broadband signal DOA estimation algorithms are mainly divided into two categories in principle: incoherent signal subspace methods and coherent signal subspace methods. The former uses the idea of ​​frequency decomposition to decompose the broadband source signal into a series of narrowband signals and then estim...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/802G06F17/16G06F17/14
CPCG01S3/802G06F17/16G06F17/14
Inventor 钟舜聪黎昕婷钟剑锋许令鸿吴生源谢宇昆
Owner FUZHOU UNIV
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