An Improved Low-Density Parity-Check Decoder and Its Field-Programmable Gate Array Implementation

Based on the IEEE 802.16e standard’s (672,336) LDPC code and the normalized Min-Sum decoding algorithm, this paper designs and implements an LDPC decoder that optimizes the channel information. The correction factor for check nodes is converted into a correction factor for the initial channel inform...

Full description

Saved in:
Bibliographic Details
Published in:Applied sciences Vol. 14; no. 12; p. 5162
Main Authors: Wang, Hao-Yu, Wang, Zhong-Xun, Shang, Shuo
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.06.2024
Subjects:
Algorithms
Block codes
Codes
Communication
FPGA
LDPC
Low density parity check codes
NMS
Parity
ISSN:2076-3417, 2076-3417
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Based on the IEEE 802.16e standard’s (672,336) LDPC code and the normalized Min-Sum decoding algorithm, this paper designs and implements an LDPC decoder that optimizes the channel information. The correction factor for check nodes is converted into a correction factor for the initial channel information, replacing the optimization of check node information with that of initial channel information. This achieves decoding performance equivalent to the traditional normalized Min-Sum decoding algorithm. Different correction factor values vary in complexity during FPGA implementation, as they involve different amounts of shift-add operations. For NMS decoding requiring a high number of shift-add operations to achieve optimal correction values, this can be converted into an LDPC decoding algorithm optimized for channel information, reducing computational overhead without sacrificing performance. A partially parallel improved decoder was designed and implemented on an FPGA, and its feasibility was verified using the Vivado simulation platform.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2076-3417
2076-3417
DOI:10.3390/app14125162