<p>Acoustic imaging method can provide intuitive acoustic images. Sparse algorithm based acoustic source localization technology can achieve acoustic imaging while ensuring the resolution of acoustic imaging. However, sparse algorithm can’t distinguish the location of sound sources or even lead to localization failure due to correlation misjudgment when the sound sources are close. In order to improve the resolution and stability of localization results, a high-resolution sound source localization method based on coordinate descent method and block compression sampling matching pursuit algorithm is proposed in this paper. The method also combines the block compressive sampling matching pursuit and coordinate descent, determines the index set by backtracking pruning and iteratively solves the source strength to improve the resolution of sound source localization. The method leverages the block-sparse distribution characteristics of sound sources in the acoustic field by employing an overlapping block division on the sound source surface. This approach avoids the low-resolution problem caused by correlation misjudgment in close-range sound source localization when using point-sparse-based imaging methods. The numerical simulation results indicate that, compared with the sparse-based sound source localization algorithm, the proposed localization method can effectively address the close-range sound source localization problem. Experimental results further verify the stability of the proposed method.</p>