Thinning of Large-Scale Subarrayed Antenna Arrays Based On Second-Order Cone Programming

To address the challenges of wide-angle scanning and low sidelobe level (SLL) requirements in satellite communication systems using wideband large-scale array antennas, this paper proposes a subarray-based array thinning method leveraging second-order cone programming (SOCP). The convex optimization framework enables effective SLL control while significantly reducing computational complexity through subarray design. Simulation experiments validate that the proposed approach achieves sparsity in large-scale arrays with improved efficiency compared to conventional methods.