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

DOI

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.

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/).

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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  - Proceedings of the 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  - 10.2991/icmmct-16.2016.370
ID  - Ao2016/03
ER  -