阅读说明：本技术 一种信道估计模型训练方法及设备 (Channel estimation model training method and device ) 是由 黄鸿基 胡慧 刘劲楠 杨帆 于 2019-04-30 设计创作，主要内容包括：本申请实施例提供一种信道估计模型训练方法及设备,该方法包括：将第一信道矩阵转换为码字信息,并利用所述码字信息重建信道矩阵,得到第二信道矩阵；利用所述第一信道矩阵和所述第二信道矩阵对信道估计模型进行深度学习,得到训练后的信道估计模型,其中,所述信道估计模型是基于深度神经网络构建的；获取终端发射的第一信号；利用所述训练后的信道估计模型,对所述第一信号进行信道估计。采用本申请实施例,能够降低信道估计的误差。(The embodiment of the application provides a channel estimation model training method and equipment, wherein the method comprises the following steps: converting the first channel matrix into code word information, and reconstructing a channel matrix by using the code word information to obtain a second channel matrix; performing deep learning on a channel estimation model by using the first channel matrix and the second channel matrix to obtain a trained channel estimation model, wherein the channel estimation model is constructed based on a deep neural network; acquiring a first signal transmitted by a terminal; and performing channel estimation on the first signal by using the trained channel estimation model. By adopting the embodiment of the application, the error of channel estimation can be reduced.)