【摘要】 文章提出了一种基于卡尔曼滤波的盲空时多用户检测方法。卡尔曼滤波是一种线性最小方差状态估计,把它有效地结合阵列天线与多用户检测。该自适应多用户检测方法不需要发送训练序列。在多径衰落信道下,仿真结果表明该方法收敛速度比LMS算法更快,有较强的抗多径和多址干扰能力。更多还原

【Abstract】 In this paper, A blind space-time detector based on Kalman filtering is proposed. Kalman filter is a linear minimum variance state estimator, and it combined array antenna and multiuser detection effectively. The adaptive detector does not require training data sequences. In multipath fading channels, simulation results show that the detector can converge faster than the space-time detector based on LMS algorithms. The detector can achieve better effectiveness of suppressing multipath interference and multiple-access interference.更多还原