Conformal spherical array pattern synthesis based on CMA-ES Algorithm

In this paper, an efficient optimization algorithm based on the covariance matrix adaptation evolution strategy(CMA-ES), is proposed for the synthesis of conformal spherical arrays. The isolated element pattern defined in the local coordinate system is transformed to the global coordinate system by Euler rotation. The pattern of the array can be obtained applying the superposition principle. The excitation weight is optimized by CMA-ES to meet the requirements of low sidelobe pattern. Numerical experimental results demonstrate the effectiveness of the proposed method.