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.
实验结果表明，所提出的空频二维自适应调制算法可以在保证系统目标传输速率和目标误比特率的前提下，进一步减小系统所需要的平均发射功率。
The simulation results show that the proposed algorithm can reduce the overall transmission power further while the target transmission rate and bit error rate are met.
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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