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 Blind adaptive multi-user detection technology is an important technology to suppress multiple access interference in Code Division Multiple Access (CDMA) system. Aiming at the disadvantage of traditional blind adaptive multi-user detection based on minimized average output energy criterion, the convergence of a slow multi-user detection technique is shortened. A dynamic system model is constructed for a CDMA system by using a newly proposed exemplary representation of a multi-user receiver. Then using the Kalman filter algorithm, a new blind adaptive multi-user detection method is designed. Theoretical analysis and numerical simulation show that in asynchronous CDMA system, compared with the existing blind adaptive multi-user detection methods based on LMS algorithm and RL S algorithm, this method has the advantages of fast convergence speed and good tracking performance