Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Finite-Precision Implementation of Decoders for LDPC-Coded M-QAM Symstems

Authors
Jun Ao, Chunbo Ma, Guixing Cao, Cong Li
Corresponding Author
Jun Ao
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.370How to use a DOI?
Keywords
LDPC, QAM, quantization, sum-product algorithm, likelihood ration
Abstract
In this letter, we address the problem of a finite-precision implementation of demapper and decoder with parity likelihood ration algorithm for LDPC-Coded M-QAM systems. By exploiting the inherent property of the variations in bit reliabilities caused by QAM signal constellation, we introduce a novel method of finite precision representations of decoder messages. This solution is obtained through the adoption of different the number of quantization bits and different quantization law for decoder messages of the different demodulated bit from the same received modulation symbol, that are able to face efficiently the clipping effect. Simulations results demonstrate that for comparable performance the new method can be implemented with much less quantization bits, which can lead to considerably lower decoding cost over the sum-product algorithm for decoding the low density parity check codes.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2016 4th International Conference on Machinery, Materials and Computing Technology
Part of series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.370How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jun Ao
AU  - Chunbo Ma
AU  - Guixing Cao
AU  - Cong Li
PY  - 2016/03
DA  - 2016/03
TI  - Finite-Precision Implementation of Decoders for LDPC-Coded M-QAM Symstems
BT  - 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1860
EP  - 1864
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.370
DO  - https://doi.org/10.2991/icmmct-16.2016.370
ID  - Ao2016/03
ER  -