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Neural Network-Aided BCJR Algorithm for Joint Symbol Detection and Channel Decoding
[article]
2020
arXiv
pre-print
Recently, deep learning-assisted communication systems have achieved many eye-catching results and attracted more and more researchers in this emerging field. Instead of completely replacing the functional blocks of communication systems with neural networks, a hybrid manner of BCJRNet symbol detection is proposed to combine the advantages of the BCJR algorithm and neural networks. However, its separate block design not only degrades the system performance but also results in additional
arXiv:2006.01125v2
fatcat:rinv7tqvbzeqxmu25i6gleifzi