CTBRNN: A Novel Deep-Learning Based Signal Sequence Detector for Communications Systems.

IEEE Signal Processing Letters(2020)

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摘要
In this letter, a deep-learning based method is proposed for signal sequence detection. A novel neural network (NN) architecture, in communications systems called Cooperative and Time-varying Bidirectional Recurrent Neural Network (CTBRNN), is developed, which learns from the training data and estimates the transmitted signal sequence without knowing the underlying channel model. Furthermore, we d...
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关键词
Artificial neural networks,Detectors,Computer architecture,Communication systems,Recurrent neural networks,Chemicals,Signal detection
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