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。
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。
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。
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