High-resolution acoustic imaging method based on block sparsity constraint

Acoustic imaging method is a critical task in various applications since it can locate the sound sources. However, the resolution of the method becomes low at low frequencies. This paper proposes a novel method to realize high-resolution acoustic imaging based on block sparsity constraint. By dividing the focusing area into blocks, the block sparse property of sound sources can be utilized to improve the resolution of the result. In this study, a block orthogonal matching pursuit method is introduced to deal with source localization problem with block sparsity constraint. To evaluate the performance of the proposed method, it is tested through numerical simulations and an experiment. The results of simulations prove that the proposed acoustic imaging method based on block sparsity constraint can localize sound sources accurately and performs better than that based on sparsity constraint. The results of the experiment further validate these findings.