Finite-Precision Implementation of Decoders for LDPC-Coded M-QAM Symstems
- 10.2991/icmmct-16.2016.370How to use a DOI?
- LDPC, QAM, quantization, sum-product algorithm, likelihood ration
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.
- © 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 - 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 -