Performance of Smart Antenna System Under Different SNR

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationSoftCOM 2016 - 2016 24th INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS (SoftCOM)
EditorsNikola Rožić, Dinko Begušić, Matko Šarić
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages351-355
ISBN (print)978-1-5090-2578-7
Publication statusPublished - Sept 2016
Externally publishedYes

Publication series

Name
ISSN (electronic)1847-358X

Conference

Title24th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2016)
PlaceCroatia
CitySplit
Period22 - 24 September 2016

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-85010375903&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(cad7b823-16a4-4bcd-92f5-dd59a94fc37f).html

Abstract

Many significant sources of error take place in the smart antenna system like mismatching between the supposed steering vectors and the real vectors, insufficient calibration of array antenna, etc. These errors correspond to adding spatially white noise to each element of the array antenna, therefore the performance of the smart antenna falls and the desired output signal is destroyed. This paper presents a performance study of a smart antenna system at different noise levels using five adaptive beamforming algorithms and compares between them. The investigated algorithms are Least Mean Square (LMS), Normalized Least Mean Square (NLMS), Sample Matrix Inversion (SMI), Recursive Least Square (RLS) and Hybrid Least Mean Square / Sample Matrix Inversion (LMS/SMI). MATLAB simulation results are illustrated to investigate the performance of these algorithms.

Research Area(s)

  • noise influence, smart antenna, adaptive beamforming, least mean square algorithm, sample matrix inversion, recursive least square

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Publication fingerprints text

100
Antenna System Engineering
100
Least Mean Square Engineering
100
Antenna Physics
100
smart antenna Computer Science
75
Least-Mean-Square A... Computer Science
66
Antenna Arrays Engineering
66
Sample Matrix Engineering
50
array antenna Computer Science
33
Simulation Result Engineering
33
Recursive Engineering
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Citation Format(s)

[ RIS ] [ BibTeX ]
Performance of Smart Antenna System Under Different SNR. / Khalaf, Ashraf A. M.; El-Daly, Abdel-Rahman B. M.; Hamed, Hesham F. A.
SoftCOM 2016 - 2016 24th INTERNATIONAL CONFERENCE ON SOFTWARE, TELECOMMUNICATIONS AND COMPUTER NETWORKS (SoftCOM). ed. / Nikola Rožić; Dinko Begušić; Matko Šarić. Institute of Electrical and Electronics Engineers, Inc., 2016. p. 351-355 7772173.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review