一种神经网络盲多用户检测

A Blind Multiuser Detection Based on Neural Network

给出了一种神经网络盲多用户检测算法。这种盲检测算法基于最小平均输出能量准则，本质上是一个有约束的最优化问题。与传统方法相比，利用神经网络求解约束优化模型，可以有效降低计算量，保证实时性，同时使检测器的性能有所提高。

In this paper a neural network based blind multiuser detection algorithm is presented.Based on the minimum output energy criterion,the algorithm is formulated as a constrained optimization problem inherently and is then resolved efficiently by using neural network.It is shown that the proposed method is superior in performance computational efficiency to and real time operation to the conventional blind algorithm.