The invention particularly relates to a
sparse array DOA (
direction of arrival)
estimation method based on an optimized array manifold dictionary, and the method comprises the steps: firstly carrying out the
layout optimization of an initial uniform area array through combining a
genetic algorithm, constructing an eight-element
sparse array structure, and maintaining a directional diagram which is close to a full array while greatly reducing the number of array elements; performing energy screening on multichannel observation signals acquired by the
sparse array, and extracting a
dominant frequency band to improve an effective
signal-to-
noise ratio; and an optimized array manifold dictionary is constructed based on a
phase compensation mechanism and an
amplitude weighting mechanism, and the internal correlation of the dictionary is reduced by minimizing off-
diagonal elements of a dictionary Gramer matrix. And on the basis, sparse reconstruction is carried out on the optimized dictionary by using an
orthogonal matching pursuit algorithm, so that a direction-of-arrival
estimation result of the sound source
signal is obtained. According to the scheme, inherent direction finding fuzziness and
grating lobes of the sparse array are effectively suppressed, the direction
estimation precision is improved, and high reliability and high robustness are still kept under the condition that the number of array elements is remarkably reduced.