基于自适应卡尔曼滤波的盲多用户检测算法

对强多址干扰情况下码分多址系统的盲多用户检测算法进行研究，针对多径信道的码分多址系统，提出一种基于自适应卡尔曼滤波的盲多用户检测算法。该算法可在进行状态滤波的同时对未知噪声的统计特性进行在线估计，确保算法收敛于期望用户，提高检测器在动态环境下的跟踪性能。仿真结果表明，与最小均方算法及递推最小二乘算法相比，该算法具有更好的收敛性和动态性能。

Blind Multi-user Detection Algorithm Based on Adaptive Kalman Filter

This paper studies the blind multi-user detection algorithm of Code Division Multiple Access（CDMA） system under the condition with heavy Multiple Access Interference （MAI）, proposes a new blind adaptive multi-user detection algorithm based on Kalman filter. The algorithm can estimate the unknown noise statistics characteristics on-line while conducting state filtering, and an efficient iterative implementation that provided very fast convergence under this representation is presented. Simulation results show that the new algorithm has the better tracking capability under the dynamic environment and convergence ability than Least Mean Square（LMS） algorithm and Recursive Least Squares（RLS） algorithm.