Near-field sound source positioning method based on partial least squares regression

Abstract

The invention relates to a near-field sound source positioning method based on partial least squares regression and can effectively solve multiple correlation problems between variables. The method ischaracterized in that L sets of receiving data generated by K narrowband, non-Gaussian and stationary near-field sound source signals in a training interval are received by a uniform linear array, after each set of receiving data is subjected to covariance to obtain a corresponding covariance matrix, upper triangular elements of the data covariance matrix are extracted, standardization processingis performed, a training sample source set is subjected to standardization processing, the number of extracted components is determined based on the cross validity, and thereby a satisfactory estimation model is obtained; test data is estimated through utilizing the trained near-field source partial least squares regression model, the angle and the distance of a test source are estimated; the components extracted by partial least squares regression are not only a good summary of the information in an independent variable system, but also explains dependent variables well, and eliminates noiseinterference in the system, and the predicted angle and the distance are highly accurate.

Description

technical field [0001] The invention belongs to the technical field of array signal processing, and in particular relates to a partial least squares regression near-field sound source localization method. Background technique [0002] Estimation of angle of arrival (DOA, Direction of Arrival), also known as signal direction of arrival estimation, is an important research direction in the field of array signal processing. The traditional near-field source DOA estimation methods include two-step MUSIC method, generalized ESPRIT method and other improved methods. The two-step MUSIC method uses the orthogonality of the signal subspace and the noise subspace to locate the target, but the traditional two-step MUSIC method has some shortcomings when it is applied to the estimation of near-field source parameters. For example, the use of spectral peak search makes the calculation When the source is a coherent source, there will be a rank loss so that it cannot be distinguished. In ...

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Problems solved by technology

For the deficiencies of the two-step MUSIC method and the generalized ESPRIT method, such as the poor angular resolution of incoherent signals with low SNR and the inability to deal with coherent sources, the partial least squares regression method of the present invention is to standardize the sample data Finally, extract the independent variable components that meet the error conditions, establish the regression equation between the independent variable and the extracted independent variable components, and the regression equation between the dependent variable and the extracted independent variable components, so as to obtain the relationship between the independent variable and the dependent variable regression equation

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