Blind identification of convolutional codes based on deep learning

J Wang, C Tang, H Huang, H Wang, J Li - Digital Signal Processing, 2021 - Elsevier
Blind identification of channel codes is becoming increasingly important in signal
interception and intelligent communication systems. However, most existing channel codes …

Blind identification of channel codes under awgn and fading conditions via deep learning

H Peng, C Cao, Y Sun, H Li… - … Conference on Networking …, 2022 - ieeexplore.ieee.org
Blind identification of channel codes is crucial in intelligent communication and non-
cooperative signal processing, and it plays a significant role in wireless physical layer …

A Rank-iteration Based Blind Identification Method for Convolutional Codes

S Che, M Zhang, Y Li - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
A blind identification technology of channel coding has received increasing attentions in
recent years. In this letter, we focus on blind identification of convolutional codes without a …

A deep convolutional learning method for blind recognition of channel codes

F Tian, J Wang, J Li - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
Blind identification of channel codes is a significant part in the field of non-cooperative signal
processing. It plays a significant role in intelligent communication, information interception …

Blind channel codes recognition via deep learning

B Shen, C Huang, W Xu, T Yang… - IEEE Journal on Selected …, 2021 - ieeexplore.ieee.org
This paper considers the blind recognition of the type and the encoding parameters of
channel codes from the Gaussian noisy signals. Specifically, based on the recurrent neural …

Blind recognition of channel codes via deep learning

B Shen, H Wu, C Huang - 2019 IEEE Global Conference on …, 2019 - ieeexplore.ieee.org
This paper considers the blind recognition of channel codes from noisy received signal.
Specifically, based on the residual neural network (ResNet), the recurrent neural network …

Blind recognition of channel coding based on CNN-BLSTM

S Zhang, L Zhou, Y Tang, L Wang… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
In cognitive radio or military communication systems, the channel coding type recognition of
the primary user signal is an important task to realize full awareness of the wireless …

Blind Recognition Algorithm for Scrambled Channel Encoder Based on the Features of Signal Matrix and Layered Neural Network

W Zhongfang, Z Liuqun, W Dong - 2021 15th International …, 2021 - ieeexplore.ieee.org
Blind recognition is of great significance in non-cooperative communication research. In
practical communication scenarios, multistage signal processing schemes are usually used …

Blind channel coding identification of convolutional encoder and reed-solomon encoder using neural networks

N Gautam, B Lall - 2020 National Conference on …, 2020 - ieeexplore.ieee.org
Forward error correcting (FEC) codes are used to improve the reliability of digital
communication systems. They introduce redundancy in the signal which helps the receiver …

[HTML][HTML] Blind identification of space–time block codes based on deep learning

L Zhang, Y Zhang, YAN Wenjun, MA Ling - Chinese Journal of Aeronautics, 2022 - Elsevier
Deep Learning (DL) has important applications to both commercial and military
communications, such as software-defined radio, cognitive radio and spectrum surveillance …