【摘要】 基于MOE准则,充分利用小区内所有用户的扩频码给出一种MOE半盲检测器,结合修正的PASTd算法和LMS算法自适应得到MOE半盲检测器的权向量,提出MC-CDMA系统下一种基于LMS的自适应半盲多用户检测算法。该算法利用已知的信息使系统的输出信干比和误码率优于LMS盲多用户检测,同时避免LMS算法中的特征值分解问题,显著降低计算量。仿真实验验证了该算法的有效性和优越性。更多还原

【Abstract】 A semi-blind detector based on the MOE principle was designed by exploiting the spreading sequences of all known users.The LMS algorithm was combined with the improved Projection Approximation Subspace Tracking with Deflation(PASTd) algorithm to obtain the weight vector adaptively.As a result,the performance of the proposed algorithm is better than that of the LMS blind multiuser detection in terms of output SIR and BER.The computational complexity is reduced to avoid the problem of eigen-decomposition in conventional LMS algorithm.Simulation results demonstrate the effectiveness and superiority of the proposed algorithm.更多还原