High-Performance Receiving Beamforming With Low-Resolution Arrays in Multisatellite Communications

In future communication systems, users require the ability to receive signals from multiple satellites while mitigating interference and improving communication quality. This necessitates the application of antenna arrays to achieve high receiving gain. To address this challenge, our study presents a low-resolution analog receiving beamforming algorithm. This algorithm successfully overcomes two problems: first, uncertainty in satellite positions, and second, the local optimality limitation of traditional approaches, ensuring global optimality. Initially, a robust optimization objective function is formulated based on the uncertainty of position. Subsequently, a customized branch-and-bound algorithm is designed to find the beamforming weights that maximize this objective function, considering the constraints of low resolution. Simulation results demonstrate the effectiveness of our approach.