Signal modulation identification in multipath channels

2020 ◽  
Author(s):  
Kaichao Zhang ◽  
Lin Qi ◽  
Wenwen Li
Keyword(s):  
Multipath Channels ◽  
Signal Modulation ◽  
Modulation Identification

scholarly journals Signal Modulation Identification Based on Deep Learning in FBMC/OQAM Systems

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Jing Chen ◽  
Jianzhong Guo ◽  
Xin Shan ◽  
Dejin Kong
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Deep Learning ◽  
Filter Bank ◽  
Identification Accuracy ◽  
Correct Classification ◽  
Signal Modulation ◽  
Modulation Identification ◽  
Filter Bank Multicarrier ◽  
Conventional Methods

Signal modulation identification (SMI) has always been one of hot issues in filter-bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM), which is usually implemented by the machine learning-based feature extraction. However, it is difficult for conventional methods to extract the signal feature, resulting in a limited probability of correct classification (PCC). To tackle this problem, we put forward a novel SMI method based on deep learning to identify FBMC/OQAM signals in this paper. It is noted that the block repetition is employed in the FBMC/OQAM system to achieve the imaginary interference cancelation. In the proposed deep learning-based SMI technique, the in-phase and quadrature samples of FBMC/OQAM signals are trained by the convolutional neural network. Subsequently, the dropout layer is designed to prevent overfilling and improve the identification accuracy. To evaluate the proposed scheme, extensive experiments are conducted by employing datasets with different modulations. The results show that the proposed method can achieve better accuracy than conventional methods.

scholarly journals Deep Learning-Based Signal Modulation Identification in OFDM Systems

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 114631-114638 ◽  
Author(s):  
Sheng Hong ◽  
Yibin Zhang ◽  
Yu Wang ◽  
Hao Gu ◽  
Guan Gui ◽  
...  
Keyword(s):  
Deep Learning ◽  
Ofdm Systems ◽  
Signal Modulation ◽  
Modulation Identification

Multi-branch DFE for Rayleigh fading multipath channels

1997 ◽  
Vol 33 (18) ◽  
pp. 1537
Author(s):  
D.J. Brooks ◽  
J.A. Chambers
Keyword(s):  
Rayleigh Fading ◽  
Multipath Channels
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