基于迁移策略的分布式遗传算法多用户检测器

A Multiuser Detector Based on Distributed Genetic Algorithms with Migration Strategy

针对简单遗传算法多用户检测器的收敛速度慢和“早熟”问题,利用解相关算法的抗多址干扰能力和分布式遗传算法的快速全局寻优优势,提出了一种基于迁移策略的分布式遗传算法解相关多用户检测器。计算机仿真结果表明:该多用户检测器的检测性能明显优于简单遗传算法多用户检测器和解相关多用户检测器,更易于实现。

With respect to the slow convergence rate and premature convergence of simple genetic algorithms multiuser detector（SGA-MUD） ,the resisted multiple-access interference performance of decorrelating algorithms and the global fast optimum performance of distributed genetic algorithms are applied to design a kind of decorrelating multiuser detector based on distributed genetic algorithms with migration strategy（DGAD-MUD）.Simulation results show that DGAD- MUD is better than SGA-MUD and decorrelating multiuser detector（DEC-MUD）,and it can be easily implemented in practice.