Design of Linear Sparse Antenna Arrays for Performance Improvement

An effective method for optimizing the performance of a fixed current distribution, uniformly spaced antenna array has been to adjust its element positions to provide performance improvement. Additionally, with a goal to reduce the peak sidelobe level (PSLL) of the array pattern, this method based on a modified real genetic algorithms (MGA) provides practical advantages such as taking the design constraints of the number of elements, the aperture and the minimum element spacing into account. The new method advanced in this paper reduces the size of the searching area of GA by means of indirect description of individual and avoids infeasible solution during the optimization process by designing the new genetic operators. The elementary steps of MGA are presented in this paper, and the simulated results confirming the great efficiency and the robustness of this algorithm are also provided here