最小均方差算法在智能天线非盲波束形成中的应用

智能天线是当前通信领域的研究热点之一,智能天线研究的核心内容是自适应波束形成算法.本文阐述了智能天线的基本原理,详细介绍了最小均方差算法以及它在智能天线非盲波束形成中的应用.文章以四元均匀线阵为例,利用计算机模拟仿真给出了最小均方差算法的性能分析,并讨论了实验参数对算法性能的影响.实验结果表明,天线方向图的主瓣能准确地指向目标用户的来波方向和主动抑制干扰信号;迭代步长的增大对算法的收敛速度有明显提高;而信干比的提高对于算法收敛速度的影响很小.

Application of LMS algorithm in non-blind beamforming of smart antenna

Smart antennas receive much attention recently in the communication field,and the adaptive beamforming algorithm is the key to the research about smart antennas.In this paper,the LMS algorithm and their application in non-blind beamforming of smart antennas are introduced in detail.The authors analyze the features of the LMS algorithm when experiment parameters are changed,and the uniform linear array with 4 sensors is used in the computer simulation.The result shows that smart antennas can put a main beam in the direction of the desired signal and reduce the interference signal,the convergence velocity gets faster when convergence factor increases,and SIR can hardly affect the convergence velocity.