• 算法基于算法(CMA),计算机仿真结果显示该算法收敛快速,性能稳定,准确完成多用户的分离。

    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.

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  • 数值计算计算机仿真结果表明高斯噪声用户干扰衰落以及分集接收等系统性能影响

    Numerical and simulation results show that the Gaussian noises, multi user interferences, multipath fading and diversity receiving all have impact on the system performance.

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  • 提出了一种基于量子神经元量子寄存器的多用户检测方案计算机仿真结果表明:本文提出的检测器误码率抗“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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  • 用户频率选择性瑞利衰落环境下下行链路的误比特率性能进行仿真,其结果表明系统可行的。

    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.

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  • 分析仿真结果表明,该类自适应多用户检测器具有更好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.

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  • 仿真实验结果表明对于用户数据访问模式优化布局性能明显优于简单RAID5布局,具有更高伸缩性

    The results of simulations show that, optimized data layouts have higher performance than simple RAID5layouts for multiuser small access pattern, and have higher scalability.

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  • 仿真实验显示章提出检测器算法误码率均低于已有的解相关最小误差用户检测器。

    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.

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  • 分析采用正交最小二乘(ols)算法RBF神经网络应用于DS - CD MA扩频通信的用户检测的问题,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.

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  • 文中迈进一步仿真分析信道估计错误检测器影响发现对于较大的信道估计错误,用户检测器用户检测器敏感

    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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  • 文中迈进一步仿真分析信道估计错误检测器影响发现对于较大的信道估计错误,用户检测器用户检测器敏感

    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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