DOA estimation method based on MVDR covariance matrix element adaptive phase angle conversion

A covariance matrix and self-adaptive technology, applied in the direction or offset system, direction finder using ultrasonic/sonic wave/infrasonic wave, etc., can solve the problems of low realization efficiency and positioning accuracy, and achieve the realization efficiency The effect of low positioning accuracy, improved directivity and accuracy, and low computational complexity

Active Publication Date: 2019-05-07
西安云脉智能技术有限公司
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Problems solved by technology

[0005] The technical problem solved by the present invention is to provide a DOA estimation method based on MVDR covariance matrix element adaptive phase angle conversion, which can simplify the MVDR weighted vector operation, thereby improving DOA estimates directivity and accuracy, and overcomes the shortcomings of existing beamforming algorithm engineering implementation efficiency and low positioning accuracy

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  • DOA estimation method based on MVDR covariance matrix element adaptive phase angle conversion
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  • DOA estimation method based on MVDR covariance matrix element adaptive phase angle conversion

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[0029] The present invention will be described in further detail below in conjunction with the accompanying drawings, which are explanations rather than limitations of the present invention.

[0030] see figure 1 , figure 2 , on the basis of the MVDR beamforming algorithm, the present invention increases the decomposition and reconstruction of the covariance matrix phase angle conversion, constructs the PTA-MVDR method based on the phase angle conversion (Phase ToAngle, PTA) to carry out DOA estimation, including the following operations:

[0031] 1) Carry out normalized sound intensity calibration on the sound data received by the microphone array and divide it into frames, and obtain the effective sound source frame containing the target sound source after VAD detection;

[0032] 2) Fourier transform is carried out to the detected sound source effective frame to obtain all characteristic sub-frequency of the sound source signal;

[0033] 3) Select the eigensub-frequency o...

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Abstract

The invention discloses a DOA estimation method based on MVDR covariance matrix element adaptive phase angle conversion. The method comprises the steps: performing Fourier transform by obtaining a valid frame for VAD detection to obtain all feature sub-frequency of a sound source signal; reconstructing a covariance matrix of the feature sub-frequency and a calculation equation of a guide vector; performing PTA decomposition and recombination on a covariance matrix element; converting the phase difference of the received data between the matrix elements into the incident angle of the sound source; optimally weighting the signal incident angle according to the microphone matrix element combination and the feature sub-frequency vector to obtain a DOA estimation of the signal source. Accordingto the method, the MVDR weight vector operation is simplified, which improves the directivity and the accuracy of the DOA estimation, and the defects that the existing beamforming algorithm engineering has low efficiency and low positioning accuracy are solved.

Description

technical field [0001] The invention belongs to the technical field based on microphone arrays, and relates to a DOA estimation method based on MVDR covariance matrix element adaptive phase angle conversion. Background technique [0002] DOA estimation based on microphone array has been widely used in wireless communication, speech recognition and other fields. Conventional DOA estimation methods include GCC algorithm based on time delay, MVDR algorithm based on linear prediction and MUSIC algorithm based on signal subspace decomposition, etc. In the past thirty years, many improved algorithms based on traditional methods have been proposed, and have attracted the attention and attention of many scholars, and have shown the advantages of high resolution and high estimation accuracy in algorithm performance. However, in actual engineering, due to the influence of array receiving performance, noise signal interference and the mixing of multiple sound sources, the accuracy of ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/802
Inventor 王哲张力侯阿婷穆林涛
Owner 西安云脉智能技术有限公司
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