Sparse direction-of-arrival estimation for two sources with constrained antenna arrays

Saleh A. Alawsh; Ali H. Muqaibel; Mohammad S. Sharawi

Sparse direction-of-arrival estimation for two sources with constrained antenna arrays

Saleh A. Alawsh, Ali H. Muqaibel, Mohammad S. Sharawi

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

1 Scopus citations

Abstract

Compressive sensing (CS), multiple signal classification (MUSIC), and estimation of signal parameter via rotational invariance techniques (ESPRIT) are among the main used estimation techniques for direction of arrival (DOA). Though, the practical implementation of DOA techniques in handheld wireless devices is limited by the number of antennas and the spacing between them. A robust DOA estimation technique is needed to overcome the different impairments in the communication channel. This paper mainly focuses on DOA estimation of two sources in the presence of practical limitations. A comparison between important DOA estimation algorithms is presented including: Beamforming, Capon, MUSIC, and First-norm singular value decomposition (l₁-SVD).

Original language	English
Title of host publication	2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	666-670
Number of pages	5
ISBN (Electronic)	9786050107371
State	Published - 2 Jul 2017

Publication series

Name	2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Volume	2018-January

Bibliographical note

Publisher Copyright:
© 2017 EMO (Turkish Chamber of Electrical Enginners).

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

Cite this

Alawsh, S. A., Muqaibel, A. H., & Sharawi, M. S. (2017). Sparse direction-of-arrival estimation for two sources with constrained antenna arrays. In 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017 (pp. 666-670). (2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc..

Alawsh, Saleh A. ; Muqaibel, Ali H. ; Sharawi, Mohammad S. / Sparse direction-of-arrival estimation for two sources with constrained antenna arrays. 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 666-670 (2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017).

@inproceedings{ec6fc2c5002d4d4dbe71a0192c1ea0ac,

title = "Sparse direction-of-arrival estimation for two sources with constrained antenna arrays",

abstract = "Compressive sensing (CS), multiple signal classification (MUSIC), and estimation of signal parameter via rotational invariance techniques (ESPRIT) are among the main used estimation techniques for direction of arrival (DOA). Though, the practical implementation of DOA techniques in handheld wireless devices is limited by the number of antennas and the spacing between them. A robust DOA estimation technique is needed to overcome the different impairments in the communication channel. This paper mainly focuses on DOA estimation of two sources in the presence of practical limitations. A comparison between important DOA estimation algorithms is presented including: Beamforming, Capon, MUSIC, and First-norm singular value decomposition (l1-SVD).",

author = "Alawsh, {Saleh A.} and Muqaibel, {Ali H.} and Sharawi, {Mohammad S.}",

note = "Publisher Copyright: {\textcopyright} 2017 EMO (Turkish Chamber of Electrical Enginners).",

year = "2017",

month = jul,

day = "2",

language = "English",

series = "2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017",

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pages = "666--670",

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Alawsh, SA , Muqaibel, AH & Sharawi, MS 2017, Sparse direction-of-arrival estimation for two sources with constrained antenna arrays. in 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017. 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 666-670.

Sparse direction-of-arrival estimation for two sources with constrained antenna arrays. / Alawsh, Saleh A.; Muqaibel, Ali H.; Sharawi, Mohammad S.
2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 666-670 (2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017; Vol. 2018-January).

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

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AU - Sharawi, Mohammad S.

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N2 - Compressive sensing (CS), multiple signal classification (MUSIC), and estimation of signal parameter via rotational invariance techniques (ESPRIT) are among the main used estimation techniques for direction of arrival (DOA). Though, the practical implementation of DOA techniques in handheld wireless devices is limited by the number of antennas and the spacing between them. A robust DOA estimation technique is needed to overcome the different impairments in the communication channel. This paper mainly focuses on DOA estimation of two sources in the presence of practical limitations. A comparison between important DOA estimation algorithms is presented including: Beamforming, Capon, MUSIC, and First-norm singular value decomposition (l1-SVD).

AB - Compressive sensing (CS), multiple signal classification (MUSIC), and estimation of signal parameter via rotational invariance techniques (ESPRIT) are among the main used estimation techniques for direction of arrival (DOA). Though, the practical implementation of DOA techniques in handheld wireless devices is limited by the number of antennas and the spacing between them. A robust DOA estimation technique is needed to overcome the different impairments in the communication channel. This paper mainly focuses on DOA estimation of two sources in the presence of practical limitations. A comparison between important DOA estimation algorithms is presented including: Beamforming, Capon, MUSIC, and First-norm singular value decomposition (l1-SVD).

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M3 - Conference contribution

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BT - 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017

PB - Institute of Electrical and Electronics Engineers Inc.

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Alawsh SA , Muqaibel AH, Sharawi MS. Sparse direction-of-arrival estimation for two sources with constrained antenna arrays. In 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 666-670. (2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017).

Sparse direction-of-arrival estimation for two sources with constrained antenna arrays

Abstract

Publication series

Bibliographical note

ASJC Scopus subject areas

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Cite this