Sound source identification method and system based on array measurement and sparse prior information

Abstract

The present disclosure provides sound source identification based on array measurement and sparse prior information, which uses a generalized minimax concave penalty function to apply a sparse constraint on a sound source reconstruction error, determines position information of a potential sound source according to a basic sound image generated by a conventional beamforming method, and generates an initial solution vector including a sound source position prior information in a specific way. Compared with using a random initial value and a zero initial value, computational efficiency of the disclosed sound field reconstruction method is improved. Further, an iterative convergence speed is improved by using a proximal gradient acceleration and an adaptive step size backtracking strategy, an optimal step size that can meet convergence is adaptively selected, and sound field reconstruction can be completed more quickly. The present disclosure realizes high-resolution and high-efficiency sound source identification by using a microphone array.

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