一种适于动态环境的盲多用户检测算法

Blind Multi-user Detection Algorithm for Dynamic Environment

比较两种盲多用户检测算法在动态环境中的收敛性能,并通过计算机进行模拟仿真。其中一种是能随输入信号矢量变化而变化的变步长最小输出能量盲算法;另一种是既保持最小输出能量检测器的全局收敛性,又具有最小均方误差检测器高输出信干比优点的判决反馈变步长盲算法。利用前者在动态强干扰下收敛快及后者在稳态时输出信干比高的优势,将二者结合起来应用到动态环境中,提高系统性能,同时抑制多址干扰和窄带干扰。

The convergence performances of the two blind multiuser detection algorithm for dynamic environment are compared with one another.One is the Minimum Output Energy(MOE)blind algorithm whose stepsize can change with input signal vector,the another is the step-size variable decision feedback blind algorithm which achives the superior convergence performance of the MOE detector and the high Signal Interference Ratio(SIR) of the former algorithm in strong dynamic interference environment.By use of the superior convergence performauce of the MOE blind algorithm in strong interference environment and the high steady state SIR of the later one,the two algorithms are combined to be used in high dynamic environment so as to enhance the system performance,suppress the multiaccess interference and narrow interference.