Optimised rate-compatible-irregular-repeat-accumulate code for asymmetric Slepian–Wolf coding
Xiaohan Sun, Xiaofu Wu, Ming Yan Jiang, Chunming Zhao · IET Communications · 2012
The authors study the optimisation of the rate-compatible (RC)-irregular-repeat-accumulate (IRA) codes for asymmetric Slepian–Wolf coding to deal with flexible correlated sources. By assuming two different additive white Gaussian noise channels, the authors formulate a non-uniform extrinsic information transfer method to optimise the degree distribution of RC-IRA codes. The parity check matrices of RC-IRA codes are constructed from a mother matrix by combining puncturing and check-splitting, which achieves a good trade-off between the lowest-rate codes and the highest-rate codes. Simulation results show that the optimised non-uniform error-correcting code performs very close to the Slepian–Wolf limit over the target compression rate range and outperforms the prior results.