标题： 面向低轨卫星通信中快速迭代MIMO检测的聚类感知两阶段方法 显示英文标题

标题： Cluster-Aware Two-Stage Method for Fast Iterative MIMO Detection in LEO Satellite Communications

摘要： 在本文中，提出了一种面向直连蜂窝卫星通信的集群感知两阶段多输入多输出（MIMO）检测方法。该方法通过利用卫星MIMO信道的一个独特特性来实现计算效率：同一地理集群内的用户由于物理接近性表现出高度相关的信道特征，这通常会阻碍传统迭代MIMO检测器的收敛。所提出的方法实施了一个两阶段策略，首先使用计算效率高的小矩阵求逆来消除集群内干扰，然后利用这些预计算的矩阵加速标准迭代MIMO检测器，如高斯-赛德尔（GS）和对称逐次超松弛（SSOR），以实现有效的集群间干扰消除。计算机仿真表明，在完美信道状态信息下，所提出的方法实现了超过12倍的收敛速度提升。即使考虑信道估计误差，该方法仍保持9倍的收敛速度提升，证明了其在下一代卫星MIMO通信中的鲁棒性和有效性。 显示英文摘要

摘要： In this paper, a cluster-aware two-stage multiple-input multiple-output (MIMO) detection method is proposed for direct-to-cell satellite communications. The method achieves computational efficiency by exploiting a distinctive property of satellite MIMO channels: users within the same geographical cluster exhibit highly correlated channel characteristics due to their physical proximity, which typically impedes convergence in conventional iterative MIMO detectors. The proposed method implements a two-stage strategy that first eliminates intra-cluster interference using computationally efficient small matrix inversions, then utilizes these pre-computed matrices to accelerate standard iterative MIMO detectors such as Gauss-Seidel (GS) and symmetric successive over-relaxation (SSOR) for effective inter-cluster interference cancellation. Computer simulations demonstrate that the proposed method achieves more than 12 times faster convergence under perfect channel state information. Even when accounting for channel estimation errors, the method maintains 9 times faster convergence, demonstrating its robustness and effectiveness for next-generation satellite MIMO communications.