Best Performance Analysis of DOA Estimation Algorithms

被引：6

作者：

Jaafer, Zahraa ^{[1
]}

Goli, Salman ^{[1
]}

Elameer, Amer S. ^{[2
]}

机构：

[1] Univ Kashan, Engn Comp, Baghdad, Iraq

[2] Iraqi Commiss Comp & Informat, IIPS, Baghdad, Iraq

来源：

2018 1ST ANNUAL INTERNATIONAL CONFERENCE ON INFORMATION AND SCIENCES (AICIS 2018) | 2018年

关键词：

Angle of Arrival; high resolution; Multiple Signal Classification; adaptive antenna; DoA estimation; Minimum Variance Distortion-less Response; 5G network; MIN_NORM;

D O I：

10.1109/AiCIS.2018.00050

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

the performance of smart antennas is highly dependent on accurate estimation of the access route (DOA). In this paper analysed various techniques for assessing DOA and check the performance. The simulation results show that the Super Resolution algorithm outperforms conventional and sub-space techniques in terms of angle accuracy, performance efficiency and number of elements in the antenna array. Higher resolution algorithm and statistically is more efficient than others technique, and more suitable for fifth generation networks. The aim of this paper is to analyse the DoA techniques and to achieve the best performance in terms of beam accuracy at extreme convergence of angles. The following techniques will be analysed in this paper: Beam-scan, MIN-NORM, minimum variance distortion less response (MVDR) and Super

引用

页码：235 / 239

页数：5

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