5G智能天线自适应波束形成算法

K. Nand, Sunil Agarwal, Gurpreet Kaur
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引用次数: 0

摘要

自适应波束形成智能天线作为一种可行的无线网络通信方式也正在研究中。智能天线技术发展的关键环节是波束形成。自适应波束形成利用许多技术来检测预期方向上的信号,同时区分干扰和非预期信号。自适应波束形成技术不仅提高了天线的窄带带宽,而且提高了天线的指向性。在本研究中,该算法提供了一种更好的方法来减少中断和提高带宽。在干扰信号前放置一个完全零。本研究的一个基本目的是寻找创建跟踪目标信号的自适应天线的替代方法,同时也为干扰信号提供完全零。本文在MATLAB中研究了LMS、RLS、LCMV和SMI等自适应波束形成方法的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithms for Adaptive Beamforming in smart Antenna in 5G
Adaptive beamforming Smart antenna is also being researched as a feasible approach in wireless networks for communications. The most crucial component of smart antenna's technique development is beam-forming. Adaptive beamforming makes use of a number of techniques to detect signals in the intended direction while distinguishing interference from unintended signals. Adaptive beam-forming technologies offered a boost to antennas narrow bandwidth as well as the beamforming method's increased antenna directivity. In this study, the algorithm offers a better way for reducing interruptions and boosting bandwidth. Place a perfect null in front of the interferer signal. A basic purpose of this research is to look into alternative methods for creating adaptive antennas that track aim signals while also providing a total null to interference signals.This paper investigates the efficiency of adaptive beamforming methods such as LMS, RLS, LCMV, and SMI in MATLAB.
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