阵发性强干扰下盲多用户检测算法的性能分析

Analysis of Blind-MUD Algorithm Under Paroxysmal Strong MAI

盲自适应多用户检测的典型算法主要有:最小均方算法、递归最小二乘算法和卡尔曼滤波算法.为分析比较3种算法的收敛速度、抗多址干扰能力和跟踪性能,在阵发性强干扰通信环境下对这3种算法的时间平均信干比(SIR)、平均输出能量(MOE)作了仿真测试.

The blind adaptive MUD includes LMS algorithm, RLS algorithm and Kalman algorithm. To analyze and compare convergence, anti-interference and tracking performance of three algorithms, the simulations on SIR and MOE are made under paroxysmal strong MAI.