MOE盲多用户检测算法中约束向量的研究  

Research of constraint vector in MOE blind multi-user detection

作　　者：刘婷[1] 孙云山[1] 张立毅[1] 

机构地区：[1]天津商业大学信息工程学院,天津300134

出　　处：《计算机工程与应用》2008年第26期68-70,共3页Computer Engineering and Applications

基　　金：中国博士后基金No.20060390170;山西省自然科学基金No.20051038~~

摘　　要：最小输出能量(Minimum Output Energy,MOE)盲多用户检测是一种简单的不用进行信道估计就可直接获得多用户检测器参数的算法,在该算法中,约束向量起着相当重要的作用,它直接影响多用户检测器的最优权矢量。通过对不同约束向量时MOE盲多用户检测算法基本原理的分析,将MOE盲多用户检测算法分为线性约束MOE盲多用户检测算法和鲁棒二次约束MOE盲多用户检测算法两大类。通过仿真实验比较了各种检测器的性能。Blind multi-user detection based on Minimum Output Energy（MOE） can directly and simply achieve the parameters of multi-user detectors without estimating channel parameters.In this algorithm,constraint vector has an important role because it affects the optimal weight vector of detectors.The basic principle of MOE blind multi-user detection for different constraint vector is analyzed,and on this basis,MOE blind multi-user detectors is classified as linear constraint MOE blind multi-user detectors and robust quadratic constraint MOE blind multi-user detectors.At last,the performance of several detectors is compared by computer simulations.

关 键 词：最小输出能量盲多用户检测器 约束向量 线性约束 鲁棒二次约束 

分 类 号：TN911.5[电子电信—通信与信息系统]