智能天线系统中自适应波束形成算法的收敛性研究

11th International Symposium on Antenna Technology and Applied Electromagnetics [ANTEM 2005] Pub Date : 2005-06-01 DOI:10.1109/ANTEM.2005.7852171

R. Shubair, A. Merri

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引用次数: 13

摘要

本文研究了用于无线通信智能天线系统的自适应波束形成算法的收敛行为。目前正在研究两种算法:最小均方(LMS)和递归最小二乘(RLS)。通过研究干扰信号数、天线单元数、迭代次数、LMS步长和RLS加权因子等参数变化对算法收敛性的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A convergence study of adaptive beamforming algorithms used in smart antenna systems

This paper studies the convergence bahavior of adaptive beamforming algorithms used in smart antenna systems for wireless communications. Two algorithms are being investigated: Least Mean Square (LMS) and Recursive Least Square (RLS). The convergence of the algorithms is studied by investigating the effect of changing a number of parameters including number of interference signals, number of antenna elements, number of iterations, LMS step size, and RLS weighting factor.

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11th International Symposium on Antenna Technology and Applied Electromagnetics [ANTEM 2005]

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