Min-Sum Approximation Decoding of LDPC Codes with Adaptive Non-Uniform Quantization  

作　　者：LIU Binbin BAI Dong MEI Shunliang 

机构地区：[1]Department of Electronic Engineering, Tsinghua University, Beijing 100084, China [2]Department of Electronics, Peking University, Beijing 100871, China

出　　处：《Chinese Journal of Electronics》2008年第3期503-506,共4页电子学报（英文版）

摘　　要：To reduce the implementation complexity and mitigate the performance loss, an adaptive non- uniform quantized rain-sum approximation decoding for Low-density parity-check （LDPC） codes is proposed. The rain-sum approximation decoding is analyzed by density evolution. Since the probability density of variable nodes messages can be well approximated by Gaussian distri- bution, the density of variable nodes messages can be tracked by variance estimation during the iteration. Thus the non-uniform quantization scheme can be optimized ac- cordingly. Simulation results show that the adaptive nonuniform quantization scheme can achieve better error rate performance and faster decoding convergence than conven-tional non-uniform quantization and uniform quantization schemes.

关 键 词：LDPC codes Iterative decoding Min-sum approximation Non-uniform quantization 

分 类 号：TN911[电子电信—通信与信息系统]