摘要
CDMA移动通信系统中的最优多用户检测问题是一个NP完备组合优化问题,遗传算法是求解这类问题的有效方法。通过分析CDMA系统多用户检测模型,对几种基于不同遗传算法的多用户检测方法的检测性能进行了实验仿真。仿真结果表明:基于多种群并行进化的分布式遗传算法更适合于多用户检测技术,具有较低的误码率和较强的抗远近效应能力。
Optimum multi-user detection is an NP-complete combinatorial optimization problem in CDMA wireless communi-cation system,and genetic algorithms are efficient methods for solving such problems.By analyzing the model of the multi-us-er detections,everal multi-user detection methods based on different genetic algorithms are simulated.Simulation results show that the distributed genetic algorithm based on multi-population parallel evolution is much fit for multi-user detection,and has lower BER and stronger resisting the near-far effects.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第35期83-85,138,共4页
Computer Engineering and Applications
关键词
多用户检测
自适应遗传算法
分布式遗传算法
multi-user detectiona
daptive genetic algorithm
distributed genetic algorithm
