DOA estimation method based on unknown mutual coupling of sparse Bayes in nested array

The invention discloses a DOA estimation method based on unknown mutual coupling of sparse Bayes in a nested array, and belongs to DOA technology in the field of adaptive array signal processing. On the basis of the particularity of a non-uniform structure of the array, reception data with mutual coupling condition of a physical array is converted to a virtual array under the condition that a mutual coupling matrix among unknown array elements, and the freedom degree of signals is improved; a new guiding matrix is set according to relation between a mutual coupling matrix and a guiding matrix;a sparse Bayesian method is used to estimate the mean value and variance of power posteriori distribution; and the signal DOA is estimated by solving the mean value of a two-norm of the signal power.A diction matrix of the array is less complex, the estimated DOA is more accurate, the high freedom degree of the nested array is used fully, the number of estimation signals exceeds the aperture ofthe physical array, and it