基于自适应拟牛顿子空间跟踪的盲多用户检测算法  

Blind Multiuser Detection Algorithm Based on Adaptive Quasi-newton for Eigenspace Estimation

作　　者：李光平[1] 段正华[1] 

机构地区：[1]湖南大学计算机与通信学院,长沙410082

出　　处：《计算机工程与应用》2005年第17期72-73,共2页Computer Engineering and Applications

摘　　要：该文提出了一种新的基于自适应拟牛顿子空间跟踪盲多用户检测算法,这种算法的计算复杂度为O(n2r),其中n为扩频因子,r为用户数。仿真分析表明:该文提出的方法的算法稳态性能及收敛速度比其他基于子空间的盲多用户检测算法都要好,因而是一种优秀的盲自适应多用户检测算法,具有一定的应用和研究价值。This paper discusses a novel blind muliuser detection based on adaptive quasi-newton algorithm for eigenspace estimation.The computational requirement of the algorithm is O(N2K),where N is the processing gain,K is the number of active users in the channel.Computer simulation results are provided to compare its performance with the PASTd subspace tracking algorithm.The results show that the proposed approach performs identically to PASTd subspace tracking algorithm and is significantly superior to it.Especially the proposed approach has a relative fast convergence rate,so it is a good adaptive multiuser detection.

关 键 词：盲多用户检测 子空间 拟牛顿法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]