【摘要】 盲自适应多用户检测技术是码分多址 (CDMA)系统中抑制多址干扰的一项重要技术。针对传统的基于最小化平均输出能量准则的盲自适应多用户检测技术收敛速度慢的缺点 ,利用一种新近提出的多用户接收器的典范表示方式 ,为 CDMA系统构造了一种动态系统模型 ,然后利用Kalman滤波算法 ,设计了一种新的盲自适应多用户检测方法。理论分析和数值仿真表明 ,在异步 CDMA系统中 ,与现有的基于 L MS算法、基于 RL S算法等盲自适应多用户检测方法相比 ,该方法具有收敛速度快速稳定 ,跟踪性能好等优点更多还原

【Abstract】 Blind adaptive multiuser detection (MUD) is a key technology in code division multiple access (CDMA) system to cancel multiple access interference (MAI). The convergence rate of conventional blind adaptive MUD algorithms based on minimum output energy (MOE) is not very satisfactory. This paper presents a novel blind MUD algorithm using the recently proposed canonical representaion of multiuser receivers and the Kalman filtering algorithm. Theoretical analysis and numerical results show that the new algorithm has fast, stable convergence rate and better tracking performance in asynchronous CDMA systems compared with blind adaptive MUD algorithms based on the least mean square (LMS) algorithm and the recursive least square (RLS) algorithm.更多还原