基于子空间和LMS的线性共轭半盲多用户检测

针对实际的多载波码分多址上行链路,在基于最小均方实现的最小输出能量盲多用户检测(LMS-MOE)的基础上,提出MC-CDMA系统下一种基于子空间跟踪和LMS的线性共轭半盲多用户检测算法。该算法充分利用小区内所有用户的扩频码和伪自相关矩阵的信息使系统的性能得到了提高,采用修正的紧缩近似投影子空间跟踪信号子空间,从而避免特征值分解使计算复杂度显著降低。仿真实验验证了该算法的有效性和可行性。

Linear conjugate semi-blind multiuser detection based on subspace and LMS

Based on the adaptive least mean square(LMS) implementation of the minimum output energy(MOE) blind multiuser detection(LMS-MOE),a linear conjugate semi-blind multiuser detection algorithm based on subspace tracking and LMS is proposed for multicarrier CDMA(MC-CDMA) uplink.The spreading sequences of all known users within the cell and the information contained in the pseudoautocorrelation matrix of the observables are exploited to improve the performance of the system.To reduce the computational complexity,the modified projection approximation subspace tracking with deflation(PASTd) algorithm is adopted to obtain the signal subspace by avoiding the eigen-decomposition.Simulation results are presented to demonstrate the effectiveness and feasibility of the proposed algorithm.