将遗传算法GA(Genetic Algorithm)与模拟退火算法SA(Simulated Annealing)相结合,提出模拟退火遗传算法(SAGA),并将其应用于MC—CDMA无线通信系统的多用户检测技术中,以求降低多用户检测算法在实际应用中的复杂度并同时提高多用户检测器的性能。分析了遗传算法和模拟退火算法的性能,从理论上阐述了模拟退火遗传算法应用于多用户检测技术中的方法和可行性。理论分析表明,基于模拟退火遗传算法的多用户检测器的算法复杂度比传统多用户检测器低;数值仿真结果也表明前者在抗干扰能力上优于后者。
In order to improve the performance and to lower the complexity in practical application of the MUD, SAGA combined with GA and SA is applied to the traditional multi-user detection. First, the performance of genetic algorithm and simulated annealing is analyzed, then the way and feasibility of SAGA used in multi-user detection is described in terms of theory. Theoretic analysis shows that the complexity of the MUD based on simulated annealing genetic algorithm is lower than the tradition's. And the simulation shows that the former has a better anti-interference performance.