【 中文摘要 】本发明涉及通信技术领域，具体涉及一种非线性毫米波MIMO通讯系统的信号检测方法。与现有技术相比，本发明方法的深度神经网络拥有更简单的结构，极大减少了超参数数量，减少了过拟合，减少了复杂度，易于训练，且仅需少量训练数据可达到较好的检测性能。

【 英文摘要 】The invention relates to the technical field of communication, in particular to a signal detection method of a nonlinear millimeter wave MIMO communication system. Compared with the prior art, the method has the advantages that the deep neural network has a simpler structure, the number of hyperparameters is greatly reduced, overfitting is reduced, complexity is reduced, training is easy, and good detection performance can be achieved only by a small amount of training data. The method has the advantages that the deep neural network is simple in structure, the number of the hyperparameters is greatly reduced, overfitting is reduced, the complexity is reduced, and training is easy.

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