Research on high-resolution sound source recognition localization method based on orthogonal least square
Aiming at the problem of low resolution of low frequency coherent source localization in small aperture planar array,a covariance fitting localization method based on orthogonal least square(OLS)is proposed.Firstly,the OLS is applied to the covariance fitting function,and then when the OLS is used to identify the source iteratively,the influence of the point spread function(PSF)component can be gradually reduced.After each iteration,the previous identified sound sources are re-corrected using the current sound source information,and the selection criteria of sound sources are improved through the exponential parameters to reduce the main lobe width of each sound source and improve the spatial resolution.Simulation and experiment show that the proposed method significantly reduces the lowest frequency of the double coherent sound source with fixed sound source spacing.
sensor arrayssound source localizationorthogonal least square(OLS)covariance matrix
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