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.
对在多用户和频率选择性瑞利衰落环境下的下行链路的误比特率性能进行了仿真,其结果表明系统是可行的。
The simulation of error bit rate performance for multi -channel and frequency -selective Rayleigh fading is carried out, and the simulation results show that the system is.
分析和仿真结果表明,该类自适应多用户检测器具有更好的收敛速度和较为简单的结构,具有广泛的应用前景。
Analysis and simulation results show that this kind of detector has faster constringency speed and its structure is simple, so it has good potential for practical applications.
仿真实验结果表明,对于多用户小数据访问模式,优化布局的性能明显优于简单RAID5布局,且具有更高的伸缩性。
The results of simulations show that, optimized data layouts have higher performance than simple RAID5layouts for multiuser small access pattern, and have higher scalability.
仿真实验显示,本章提出的五种检测器算法的误码率均远低于已有的解相关、最小均方误差和多级多用户检测器。
Our simulation experiments show that the bit-error-ratio (BER) of these new detectors is much lower than that of decorrelation, minimum mean-squared error and multistage detectors.
分析了采用正交最小二乘(ols)算法的RBF神经网络应用于DS - CD MA扩频通信的多用户检测的问题,给出了基于RBF网络进行多用户检测的理论依据和仿真分析性能。
RBF neural network method using OLS algorithm for Multi-user Detection in DS-CDMA Systems is pro-posed, and the theoretic basis and simulation analysis capability are given int his paper.
文中迈进一步仿真分析了信道估计错误对检测器的影响,发现对于较大的信道估计错误,多用户检测器比单用户检测器更敏感。
Further analyzing the effect of channel estimation error on the detectors, it is found that the multiuser detector is more sensitive to big estimation error than the single user detector.
文中迈进一步仿真分析了信道估计错误对检测器的影响,发现对于较大的信道估计错误,多用户检测器比单用户检测器更敏感。
Further analyzing the effect of channel estimation error on the detectors, it is found that the multiuser detector is more sensitive to big estimation error than the single user detector.
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