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Bearing estimation of coherent signals using compressive sampling array

Compressive sampling (CS) is an attractive theory which can achieve sparse signals acquisition and compression simultaneously. Exploiting the sparse property in the spatial domain, the direction of arrival (DOA) of narrowband signals is studied by using compressive sampling measurements in the form of random projections of sensor arrays. The proposed approach, CS array DOA estimation based on eigen space (CSA-ES-DOA) uses a very small number of measurements to resolve the DOA estimation of the coherent signals and two closely adjacent signals. Theoretical analysis and simulation results demonstrate that the proposed approaches can maintain high angular resolution, low hardware complexity and low computational cost.