Applied Mathematics & Information Sciences

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Based on a space sparse representation of underwater target, and combining compressed sensing sparse reconstruction principle, we present a new high-accuracy DOA estimation method. The proposed method can be used in narrowband and wideband scenarios. We demonstrate the effectiveness of the proposed method on simulated data by plots of spatial spectra, computation time and root mean square error. We observe that our approach has number of advantages over other DOA estimation methods including decreasing the calculated quantity, and the use of feasibility and superiority in the micro underwater location platform, as well as not requiring high demand of array.