The invention provides a dimensionality reduction optimization algorithm for a thinned concentric ring array. The dimensionality reduction optimization algorithm for the thinned concentric ring arraymainly aims at solving the problems that in a traditional algorithm, the thinned concentric ring array cannot be directly optimized, or a large amount of computation is needed, and a novel optimization method is proposed. The algorithm comprises the steps that 1, array parameters are initialized, and a reference model of the thinned concentric ring array and a reference model of a full concentricring array are built; 2, the continuous weighted surface density of the reference circle aperture is computed, dimensionality reduction processing is conducted on an optimization problem, and the relation between the array element number on each ring of the thinned concentric ring array and the ring radius is obtained; 3, the ring radiuses are optimized through a margin coding technology; 4, a cost function is computed; and 5, whether or not a maximum cycle index is reached, if yes, the algorithm is ended, and if not, the step 2 to the step 4 are repeated. According to the algorithm, the computing amount for the array optimization problem can be effectively decreased, the peak side lobe level is reduced, the good robustness is achieved, and the algorithm has the important significance on implementation of an actual antenna system.