中文说明：LBER和LMS算法的功能仿真，图形象地描绘出了两种自适应算法随着单个信号传输的收敛过程，直至系统达到稳定状态。从图中看到LMS算法的收敛速度小于LBER算法并且达到稳态时的系统误码率远大于LBER算法。因此论文分析的自适应最小误码率多用户检测算法比自适应最小均方误差多用户检测算法性能优良
English Description：
The function simulation of lber and LMS algorithm graphically depicts the convergence process of the two adaptive algorithms with a single signal transmission until the system reaches a stable state. It can be seen from the figure that the convergence speed of LMS algorithm is lower than lber algorithm, and the system bit error rate when reaching steady state is much higher than lber algorithm. Therefore, the adaptive minimum bit error rate multiuser detection algorithm analyzed in this paper has better performance than the adaptive minimum mean square error multiuser detection algorithm