The invention discloses a discretized region scanning subarray-level sparse optimization method and
system, and belongs to the technical field of array
antenna design, and the method comprises the following steps: S1, discretizing an initial
population; s2, carrying out region scanning
processing; and s3, optimization
processing. When the method and the
system are applied to sub-array-level sparseoptimization of a large-scale circular aperture antenna, under the condition that the sub-array spacing meets the spacing requirement, the optimization time is greatly reduced, the sidelobe level isreduced, a new way is provided for rapidly solving effective position arrangement of array elements under the specific
array element spacing limitation condition, the diversity of a solution set in the optimization process is improved, the probability of finding the optimal solution is improved, and
local convergence of the optimization
algorithm is effectively avoided; and when the designed arrayantenna is applied to a large-scale
radar system, the
radar has the advantages of long operating distance,
high resolution, low cost, light weight, high
engineering realizability and the like, and isworthy of popularization and application.