一种新的盲自适应多用户检测算法的研究

Research on a New Blind Adaptive Multi-user Detector

针对稳态码分多址系统存在的强多址干扰,提出了一种新的基于卡尔曼滤波的归一化LMS盲多用户检测算法,它将卡尔曼滤波与归一化LMS算法结合在一起,通过准确估计出自适应向量得到判决向量的最优估计。实验仿真及分析表明,该算法收敛速度快、跟踪性能较好、抗多址干扰能力强和较低的运算度杂度,具有较高的工程应用价值。

To solve the strong MAI in the stable CDMA system a new algorithm of normalized LMS blind multiuser detector based on kalman filter is proposed. The algorithm which combines the kalman filter and normalized LMS can estimates the adaptive vector to get the optimal estimation of the detection vector. Both experimental simulation and analysis show that the algorithm has fast convergence, high accuracy in tracking, excellent capability of anti-multiple access interference, low computation complexity and high engineering practical value.