Different perspective and approach to implement adaptive normalised belief propagation-based decoding for low-density parity check codes

作者：Poocharoen P^*; Magana M E

来源：IET Communications, 2012, 6(15): 2314-2325.

DOI：10.1049/iet-com.2011.0792

In this study, the authors propose an improved version of the min-sum algorithm for low-density parity check code decoding, which the authors call %26apos;adaptive normalised BP-based%26apos; algorithm. Their decoder provides a compromise solution between belief propagation and the min-sum algorithms by adding an exponent offset to each variable node%26apos;s intrinsic information in the check node update equation. The extrinsic information from the min-sum decoder is then adjusted by applying a negative power of the two scale factor, which can be easily implemented by right shifting the min-sum extrinsic information. The difference between their approach and other adaptive normalised min-sum decoders is that the authors select the normalisation scale factor using a clear analytical approach based on the underlying principles. The simulation results show that the proposed decoder outperforms the min-sum decoder and performs very close to the BP decoder with lower complexity.

• 出版日期2012-10-16