基于强跟踪滤波器的盲自适应多用户检测

盲自适应多用户检测是码分多址(CDMA)系统中抑制多址干扰的一项重要技术.为克服传统的基于最小化输出能量准则的盲自适应多用户检测技术收敛速度慢的这一缺点,利用一种新近提出的多用户接收器的典范表示方式,构造了多用户检测系统的状态空间模型,再利用强跟踪滤波器(STF)理论,设计了一种新的盲自适应多用户检测方法.仿真结果表明,在异步CDMA系统中,与基于LMS算法、RLS算法及Kalman算法的盲自适应多用户检测相比, 方法具有收敛速度快速稳定, 跟踪性能好等优点.因此,基于强跟踪滤波器的盲自适应多用户检测是有效的.

Blind Adaptive Multiuser Detection Based on Strong Ttracking Filter

Blind adaptive multiuser detection(MUD) is a key technology in code-division multiple-access(CDMA) system for suppressing multiple access interference.The convergence rate of conventional blind adaptive MUD algorithms based on minimum output energy is not very satisfactory.Based on the recently proposed canonical representation of multiuser receivers,a state-space model is constructed for the MUD system.Applying the theory of strong tracking filter(STF),a new algorithm of blind adaptive MUD is designed.Simulation results show that the new algorithm has fast,stable convergence rate and better tracking capability in asynchronous CDMA systems compared with previously published blind adaptive MUD algorithms based on LMS,RLS and Kalman,therefore the blind adaptive MUD based on STF is effective.