机译:FBMC / OQAM系统基于深度学习的信道估计和均衡方案
China Univ Petr, Coll Informat Sci & Engn, Beijing 102249, Peoples R China;
China Univ Petr, Coll Informat Sci & Engn, Beijing 102249, Peoples R China;
China Univ Petr, Coll Informat Sci & Engn, Beijing 102249, Peoples R China;
China Univ Petr, Coll Informat Sci & Engn, Beijing 102249, Peoples R China;
China Univ Petr, Coll Informat Sci & Engn, Beijing 102249, Peoples R China;
Filter bank multicarrier; OQAM; channel estimation; deep learning; deep neural networks;
机译:基于贝叶斯学习的双重选择性稀疏信道估计,用于毫米波混合MIMO-FBMC-OQAM系统
机译:MIMO-FBMC-OQAM系统的半盲,训练和数据辅助信道估计方案
机译:双选择信道估计误差下FBMC-OQAM的有效均衡
机译:FBMC-OQAM系统基于深度BLSTM的信道估计和均衡
机译:稀疏频道的频道估计和均衡的主题及其在数字电视系统中的应用。
机译:使用双卡尔曼滤波器估计FBMC / OQAM衰落信道
机译:频率过采样域中FBMC / OQAM的迭代信道估计与均衡方案研究