Comparative Study of Adaptive Beamforming Algorithms for Smart antenna Applications

Mohammad Abualhayja’a; Mousa Hussein

doi:10.1109/ICCSPA49915.2021.9385725

Comparative Study of Adaptive Beamforming Algorithms for Smart antenna Applications

Mohammad Abualhayja’a, Mousa Hussein

Department of Electrical and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

19 Citations (Scopus)

Abstract

Beamforming is signal processing techniques used to shape the antenna array pattern according to prescribed criteria. In this paper, a comparative study is presented for various adaptive antenna beamforming algorithms. Least Mean Square (LMS), Normalized Least Mean Square (NLMS), Recursive Least Square (RLS) and Sample Matrix Inversion (SMI) algorithms are studied and analyzed. we also consider some possible adaptive filters combinations, such as LMS with SMI weights initialization, and combined NLMS filters with a variable mixing parameter. These algorithms are simulated for a linear antenna array with different sizes, and results are discussed in terms of their Convergence speed, Max SLL and Null depths.

Original language	English
Title of host publication	ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728165356
DOIs	https://doi.org/10.1109/ICCSPA49915.2021.9385725
Publication status	Published - Mar 16 2021
Event	4th International Conference on Communications, Signal Processing, and their Applications, ICCSPA 2020 - Sharjah, United Arab Emirates Duration: Mar 16 2021 → Mar 18 2021

Publication series

Name	ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications
Volume	2021-January

Conference

Conference	4th International Conference on Communications, Signal Processing, and their Applications, ICCSPA 2020
Country/Territory	United Arab Emirates
City	Sharjah
Period	3/16/21 → 3/18/21

Keywords

Adaptive beamforming
LMS algorithm
NLMS algorithm
RLS algorithm
SMI algorithm

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications
Computer Science Applications

Access to Document

10.1109/ICCSPA49915.2021.9385725

Cite this

Abualhayja’a, M., & Hussein, M. (2021). Comparative Study of Adaptive Beamforming Algorithms for Smart antenna Applications. In ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications (ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications; Vol. 2021-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSPA49915.2021.9385725

Comparative Study of Adaptive Beamforming Algorithms for Smart antenna Applications. / Abualhayja’a, Mohammad; Hussein, Mousa.
ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications. Institute of Electrical and Electronics Engineers Inc., 2021. (ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications; Vol. 2021-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abualhayja’a, M & Hussein, M 2021, Comparative Study of Adaptive Beamforming Algorithms for Smart antenna Applications. in ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications. ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications, vol. 2021-January, Institute of Electrical and Electronics Engineers Inc., 4th International Conference on Communications, Signal Processing, and their Applications, ICCSPA 2020, Sharjah, United Arab Emirates, 3/16/21. https://doi.org/10.1109/ICCSPA49915.2021.9385725

Abualhayja’a M, Hussein M. Comparative Study of Adaptive Beamforming Algorithms for Smart antenna Applications. In ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications. Institute of Electrical and Electronics Engineers Inc. 2021. (ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications). doi: 10.1109/ICCSPA49915.2021.9385725

Abualhayja’a, Mohammad ; Hussein, Mousa. / Comparative Study of Adaptive Beamforming Algorithms for Smart antenna Applications. ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications. Institute of Electrical and Electronics Engineers Inc., 2021. (ICCSPA 2020 - 4th International Conference on Communications, Signal Processing, and their Applications).

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abstract = "Beamforming is signal processing techniques used to shape the antenna array pattern according to prescribed criteria. In this paper, a comparative study is presented for various adaptive antenna beamforming algorithms. Least Mean Square (LMS), Normalized Least Mean Square (NLMS), Recursive Least Square (RLS) and Sample Matrix Inversion (SMI) algorithms are studied and analyzed. we also consider some possible adaptive filters combinations, such as LMS with SMI weights initialization, and combined NLMS filters with a variable mixing parameter. These algorithms are simulated for a linear antenna array with different sizes, and results are discussed in terms of their Convergence speed, Max SLL and Null depths.",

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AB - Beamforming is signal processing techniques used to shape the antenna array pattern according to prescribed criteria. In this paper, a comparative study is presented for various adaptive antenna beamforming algorithms. Least Mean Square (LMS), Normalized Least Mean Square (NLMS), Recursive Least Square (RLS) and Sample Matrix Inversion (SMI) algorithms are studied and analyzed. we also consider some possible adaptive filters combinations, such as LMS with SMI weights initialization, and combined NLMS filters with a variable mixing parameter. These algorithms are simulated for a linear antenna array with different sizes, and results are discussed in terms of their Convergence speed, Max SLL and Null depths.

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Comparative Study of Adaptive Beamforming Algorithms for Smart antenna Applications

Abstract

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Keywords

ASJC Scopus subject areas

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