基于子空间方法的自适应半盲多用户检测  

Adaptive Semi-blind Multiuser Detection Based on Subspace Approach

作　　者：孟艳[1] 汪晋宽[1] 宋昕[1] 刘志刚[1] 

机构地区：[1]东北大学信息科学与工程学院,辽宁沈阳110004

出　　处：《系统仿真学报》2007年第16期3804-3807,3812,共5页Journal of System Simulation

基　　金：博士学科点专项科研基金(20050145019)

摘　　要：提出MC-CDMA系统下一种基于子空间方法的自适应半盲多用户检测算法。该算法通过利用小区内所有用户的扩频码设计了一种基于MOE准则的半盲检测器。针对Chebyshev逼近算法受到来自噪声子空间分量的影响导致性能下降的问题,提出一种子空间约束Chebyshev逼近算法,并使用该算法自适应得到权向量。为了减少计算复杂度,采用修正的PASTd算法自适应跟踪信号子空间。仿真实验验证了该算法的有效性和可行性。An adaptive semi-blind multiuser detection algorithm based on subspace approach was proposed for MC-CDMA uplink. A semi-blind multiuser detection algorithm based on the MOE principle was designed by making use of the spreading sequences of all known users,The performance of the Chebyshev approximation algorithm will degrade when it is affected by the noise subspace, In order to overcome this shortage, a subspace constrained Chebyshev approximation algorithm is proposed to obtain the weight vector adaptively, Moreover, a modified PASTd algorithm was proposed for adaptive signal subspace estimation to reduce the computational complexity. Simulation results demonstrate the effectiveness and feasibility of the proposed algorithm.

关 键 词：多载波CDMA 最小输出能量 半盲多用户检测 紧缩近似投影子空间跟踪 Chebyshev逼近 

分 类 号：TN911.7[电子电信—通信与信息系统]