摘要
本文采用遗传算法实现快速软判决译码（ＧＳＤ）。将软判决译码问题转化为相应的组合优化问题，利用遗传算法固有的并行特性和启发式搜索能力，进行快速优化计算，完成快速软判决译码。该算法适合于并行的译码结构，能够在保持译码性能不变的同时，加快译码速度。模拟计算表明：算法的译码性能和译码速度都比较好，具有较高的实用价值。
In this paper,a fast soft decision decoding using genetic algorithms(GSD)is presented It formalizes the soft decision decoding as an appropriate combinatorial optimization problem,then uses the genetic algorithm with intrinsic parallel and heuristic capability to find the optimal solution,and thus completes the fast soft decision decoding The proposed algorithm is applicable to the parallel decoding structure and can improve the decoding speed meanwhile keeping the decoding performance unchanged Simulation results show that the decoding performance and the decoding speed are ideal to be utilized in practical application
出处
《通信学报》
EI
CSCD
北大核心
2000年第1期34-39,共6页
Journal on Communications
基金
国家自然科学基金资助项目!(69972035)
信息产业部电科院军事电子预研基金资助项目!(DJ4.6.3.2)
关键词
遗传算法
软判决
译码
genetic algorithm
general threshold
soft decision
performance
