Research and Improvement of LPDC Decoding Algorithm
- DOI
- 10.2991/icmeit-16.2016.14How to use a DOI?
- Keywords
- LDPC, BP algorithm, LLR BP algorithm, Tanner graph.
- Abstract
Low Density Parity Check(LDPC) code itself has a good performance and the application of LDPC in the communication field is extensive. LDPC codes have the characteristics of low bit error rate, easy adjustment, low decoding complexity and excellent decoding performance. LDPC is considered to be the "best performance" in the field of coding and decoding[1]. In this paper, we mainly introduce the theory of LDPC codes. And the use of the method of the LDPC code to do a further explanation. Several simple decoding schemes of LDPC are studied. Finally, using the method of function approximation to replace the confidence function to improve the BP LLR algorithm, and simulation experiments are carried out.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Tingting Chen AU - Riuan Liu AU - Lirong Diao PY - 2016/08 DA - 2016/08 TI - Research and Improvement of LPDC Decoding Algorithm BT - Proceedings of the 2016 International Conference on Mechatronics Engineering and Information Technology PB - Atlantis Press SP - 78 EP - 81 SN - 2352-5401 UR - https://doi.org/10.2991/icmeit-16.2016.14 DO - 10.2991/icmeit-16.2016.14 ID - Chen2016/08 ER -