A multiuser detector based on blind channel estimation is proposed.
提出了一种基于信道盲估计的多用户检测方法。
The paper considers a constant modulus cost function with non-canonical constraint, and presents a new blind multiuser detector.
本文讨论一种具有非标准约束的常数模准则，得出一种新的盲多用户检测器。
The nonlinear support vector machine multiuser detector can approach the optimum multiuser detector in a better way than the other linear detectors.
另外，支撑矢量机多用户检测器的非线性特性可以比线性检测器更好地逼近最优检测器。
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。
This paper presented a optimum linear multiuser detector in terms of minimum mean bit error rate, and given a approximate method of solving the detector - method of training single perceptron.
本文提出了平均误比特率最小意义下的最佳线性多用户信号检测器，并给出了求解这种最佳线性多用户信号检测器的近似方法——训练单层感知器法。
We propose a two-stage multiuser detector.
我们提出采用两阶段检测器。
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.
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.
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。
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