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。
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.
采用平均最小自由欧氏距离估计误比特率，得到误比特率的封闭式表示，通过计算机模拟，在高信噪比情况下，这种估计方法与实际情况非常接近。
The bit error probability is estimated by the minimum average Euclidean distance. Through simulation, it is shown that the estimation is usually very accurate at high signal-to-noise ratio.
采用平均最小自由欧氏距离估计误比特率，得到误比特率的封闭式表示，通过计算机模拟，在高信噪比情况下，这种估计方法与实际情况非常接近。
The bit error probability is estimated by the minimum average Euclidean distance. Through simulation, it is shown that the estimation is usually very accurate at high signal-to-noise ratio.
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