Design of Improved BP Decoders and Corresponding LT Code Degree Distribution for AWGN Channels
Joint Authors
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-20
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper presents the performance of a hard decision belief propagation (HDBP) decoder used for Luby transform (LT) codes over additive white Gaussian noise channels; subsequently, three improved HDBP decoders are proposed.
We first analyze the performance improvement of the sorted ripple and delayed decoding process in a HDBP decoder; subsequently, we propose ripple-sorted belief propagation (RSBP) as well as ripple-sorted and delayed belief propagation (RSDBP) decoders to improve the bit error rate (BER).
Based on the analysis of the distribution of error encoded symbols, we propose a ripple-sorted and threshold-based belief propagation (RSTBP) decoder, which deletes low-reliability encoded symbols, to further improve the BER.
Degree distribution significantly affects the performance of LT codes.
Therefore, we propose a method for designing optimal degree distributions for the proposed decoders.
Through simulation results, we demonstrate that the proposed RSBP and RSDBP decoders provide significantly better BER performances than the HDBP decoder.
RSDBP and RSTDP combined with the proposed degree distributions outperformed state-of-the-art degree distributions in terms of the number of encoded symbols required to recover an input symbol correctly (NERRIC) and the frame error rate (FER).
For a hybrid decoder formulated by combining RSDBP with a soft decision belief propagation decoder, the proposed degree distribution outperforms the other degree distributions in terms of decoding complexity.
American Psychological Association (APA)
Zhang, Lei& Su, Li. 2020. Design of Improved BP Decoders and Corresponding LT Code Degree Distribution for AWGN Channels. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1214971
Modern Language Association (MLA)
Zhang, Lei& Su, Li. Design of Improved BP Decoders and Corresponding LT Code Degree Distribution for AWGN Channels. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-16.
https://search.emarefa.net/detail/BIM-1214971
American Medical Association (AMA)
Zhang, Lei& Su, Li. Design of Improved BP Decoders and Corresponding LT Code Degree Distribution for AWGN Channels. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-16.
https://search.emarefa.net/detail/BIM-1214971
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214971