A Compressive-Sensing Inspired Alternate Projection Algorithm for Sparse Array Synthesis

In this paper, we propose a simple approach for sparse array synthesis. We employ a modified generalized alternate projection algorithm using ℓ 1 -norm constrained minimization in order to achieve the excitation and the position of the elements of a sparse array. The proposed approach is very flexible, since it deals with power pattern masks and allows the inclusion of the effects of element pattern and mutual coupling. Its implementation is relatively simple, thanks to the possibility to use well-known convex programming techniques. The presented method is particularly suitable for the synthesis of patterns commonly employed in radar systems; the numerical results provided show good performances with respect to concurrent methods available in open literature