Research on Blind Recognition Algorithm of Channel Coding Based on One-Dimensional Convolutional Neural Network Under the Low SNR Regime-Reference-Cited by-同舟云学术

Research on Blind Recognition Algorithm of Channel Coding Based on One-Dimensional Convolutional Neural Network Under the Low SNR Regime

Published:2023-01-02 Issue:5 Volume:55 Page:5653-5673
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Deng Pan,Zhang Tianqi,Ma Baoze,An Zeliang

Funder

Yibin University of College-level Research and Cultivation Program

the open project fund of Intelligent Terminal Key Laboratory of Sichuan Province of China

National Natural Science Foundation of China

the Project of Key Laboratory of Signal and Information Processing of Chongqing

the Natural Science Foundation of Chongqing

the Research Project of Chongqing Educational Commission

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-022-11104-0.pdf

Reference27 articles.

1. Jia CJ (2017) Research on blind recognition algorithm for linear block codes parameters [D]. [M. dissertation], Hebei University

2. Wang JX (2017) Research on blind recognition of linear block code[D]. [M. dissertation], Chongqing University of posts and telecommunications

3. Wang JX, Zhang TQ, Qiang XZ (2017) Blind recognition of linear block code parameters based on iterative column elimination algorithm. Telecommun Eng 57(2):197–202

4. Zhang M, Lu K, Li XH (2015) Blind recognition of turbo encoding type. J Electron Meas Instrum 5(29):701–707

5. Wu ZJ, Zhang LM, Zhong ZG et al (2019) Zero turbo code length and frame synchronization recognition at low SNR. J Electron Inf Technol 41(9):2063–2070