摘要
文章研究了采用空时分组码的多载波码分多址(MC-CDMA)系统在工作于时分双工(TDD)模式下的上行链路中基于遗传算法(GA)的多用户检测方法。采用基于子空间分解的盲算法对空时分组码MC-CDMA系统进行信道估计,并运用信道估计值得出最小均方误差(MMSE)解。通过遗传操作将MMSE解扩展为遗传算法的目标种群,并对目标种群运用最大似然(ML)搜索,获得最佳的检测结果。该方案在较小的复杂度代价下能大幅提高系统性能,当存在信道估计误差时也具有良好的误比特性能。
The multiuser detection of a space-time block coded multicarrier code division multiple access(MC-CDMA) system in time division duplex(TDD) mode was investigated based on the genetic algorithm.A subspace-based algorithm was used to perform channel estimation for space-time block coded MC-CDMA system and the minimum mean square error(MMSE) solution obtained by using Channel estimation value.The genetic-algorithm operators are used to generate candidate population of genetic-algorithm and the optimal solution can be determined after the maximum likelihood(ML) search was carried out in the candidate population.The proposed scheme provides superior performance with minor complexity increased,and can keep good performance when errors existed in the channel estimation.
关键词
空时分组码
多载波码分多址
多用户检测
遗传算法
space-time block coded
multicarrier code division multiple access
multiuser detection
genetic algorithm
