基于卡尔曼滤波的线性共轭半盲多用户检测

考虑实际的多载波CDMA（MC-CDMA）上行链路系统，深入研究了基于卡尔曼滤波的盲自适应多用户检测和线性共轭多用户检测，提出MC-CDMA系统下一种基于自适应卡尔曼滤波的线性共轭半盲多用户检测算法。该算法利用小区内所有用户的扩频码和伪自相关矩阵的信息设计了一种基于平均输出能量（MOE）准则的线性共轭半盲检测器，结合修正的PASTd算法和卡尔曼滤波算法自适应得到MOE权向量。仿真实验验证了所提算法的有效性，与卡尔曼滤波盲自适应算法相比，提出的算法有更好的输出信干比和误码率性能，并保持较低的复杂度。

Linear conjugate semi-blind multiuser detection based on Kalman filter

Based on the study of the Kalman filter blind adaptive multiuser detection and the linear conjugate multiuser detection,a linear conjugate semi-blind multiuser detection algorithm based on Kalman filter is proposed for MC-CDMA uplink.A linear conjugate semi-blind detector based on the MOE principle is designed by exploiting the spreading sequences of all known users and information contained in the pseudoautocorrelation of the observables.We combine the Kalman filter with the improved PASTd algorithm to obtain the weight vector adaptively.Compared with the Kalman filter blind algorithm,simulations demonstrate that the proposed method is not only effective,but also enjoys better SIR and BER performance,and has lower computational complexity.