华中科技大学学报（自然科学版）2026，Vol.54Issue(3)：117-123,7.DOI:10.13245/j.hust.250149
基于改进平衡优化算法的LDPC多参数译码算法
Multi-parameter LDPC decoding algorithm based on the improved equilibrium optimizer
摘要
Abstract
Low-density parity-check(LDPC)codes have emerged as a prominent research focus in the field of information and coding theory due to their exceptional error correction performance,which approaches the Shannon limit.To optimize the parameters of the LDPC decoding algorithm,an improved multi-parameter joint optimization framework for LDPC decoding based on the enhanced equilibrium optimizer(IEO)was proposed,denoted as improved EO optimized multi parameters decoding(IEO-MPDA)algorithm.The framework was developed by integrating the layered normalized min-sum algorithm(LNMSA)with the layered offset min-sum algorithm(LOMSA),effectively expanding the parameter search space from one-dimensional to two-dimensional and thereby increasing the degrees of freedom in parameter optimization.Furthermore,an adaptive stagnation detection mechanism,dynamic exponential weighted balance pool construction,elite individual crossover and mutation operations,and Latin hypercube initialization method were introduced,successfully addressing the issue of traditional EO algorithms tending to converge to local optima when solving decoding parameter optimization problems.Simulation results demonstrate that IEO-MPDA achieves superior decoding performance improvement of approximately 0.2 dB compared to existing traditional parameter decoding optimization schemes,without incurring additional decoding complexity.关键词
LDPC译码/分层归一化最小和算法/分层偏移最小和算法/元启发式算法/改进EO优化-多参数译码Key words
LDPC decoding/layered normalized min-sum algorithm/layered offset min-sum algorithm/metaheuristic algorithm/improved EO optimized multi parameters decoding(IEO-MPDA)分类
信息技术与安全科学引用本文复制引用
李聪颖,李光浩,陈雯雯,胡旻威..基于改进平衡优化算法的LDPC多参数译码算法[J].华中科技大学学报（自然科学版）,2026,54(3):117-123,7.基金项目
广东省重点领域研发项目(2019B010158001). （2019B010158001）
