该算法基于恒模算法(CMA)，计算机仿真结果显示该算法收敛快速，性能稳定，能准确地完成多用户的分离。
This algorithm is based on constant module algorithm (CMA). The computer simulation results indicate that this algorithm have several advantages such as fast convergence, robustness and so on.
数值计算和计算机仿真结果表明了高斯噪声、多用户干扰、多径衰落以及分集接收等对系统性能的影响。
Numerical and simulation results show that the Gaussian noises, multi user interferences, multipath fading and diversity receiving all have impact on the system performance.
提出了一种基于量子神经元与量子寄存器的多用户检测方案，计算机仿真结果表明：本文所提出的检测器在误码率和抗“远近”效应方面均具有良好的性能。
A multiuser detector based on quantum neuron and quantum register is proposed. Computer simulation results show that the method has powerful properties both in bit error rate and near-far resistance.
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