Orthogonal matching pursuit applied to the deconvolution approach for the mapping of acoustic sources inverse problem (OMP-DAMAS) is characterized with high resolution and high location accuracy by reducing mainlobe and eliminating sidelobes.The change rules of the acoustic source identification results with signal frequency, iteration number and signal to noiseratio (SNR) were explored based on numerical simulated incoherent sources identification imaging maps and deviation value. The results are listed as following. OMP-DAMAS can improve resolution and location accuracy effectively. Excellent performance and robustness are guaranteed for medium and high frequency source. Acoustic sources can be identified with clear map when the algorithm is applied to sources with frequency higher than 2 300 Hz and SNR higher than 0 dB. The number of reconstructed sources depends on iteration number, while sidelobes can be eliminated by setting dynamic range properly. These conclusions have guiding significance for the application of the OMP-DAMAS. Furthermore, the feasibility of the method has been validated through a physical experiment on acoustic source identification of several loudspeakers.