Waveform Level Intelligent Multi-Task Receiver With BiLSTM
IEEE Communications Letters(2022)
摘要
Power of deep neural networks (NNs) has enabled tremendous effective applications for communication receiver design. In this letter, we demonstrate the possibility of constructing merely one NN to straightforwardly recover bit messages from waveform sequences of unknown modulation schemes without an additional timing synchronization module. The typical bidirectional LSTM (BiLSTM) structures are em...
更多查看译文
关键词
Modulation,Receivers,Artificial neural networks,Timing,Synchronization,Indexes,Phase locked loops
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要