A more efficient AOA method for 2D and 3D direction estimation with arbitrary antenna array geometry

M. A. G. Al-Sadoon; N. A. Abduljabbar; N. T. Ali; R. Asif; A. Zweid; H. Alhassan; J. M. Noras; R. A. Abd-Alhameed

doi:10.1007/978-3-030-05195-2_41

A more efficient AOA method for 2D and 3D direction estimation with arbitrary antenna array geometry

M. A. G. Al-Sadoon, N. A. Abduljabbar, N. T. Ali, R. Asif, A. Zweid, H. Alhassan, J. M. Noras, R. A. Abd-Alhameed

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

7 Citations (Scopus)

Abstract

Direction of arrival (DOA) estimation is currently an active research topic in array signal processing applications. Thus, a more efficient method with better accuracy than the current subspace angle of arrival (AOA) methods is proposed in this paper. The proposed method is called subtracting signal subspace (SSS), which exploits the orthogonality between the signal subspace (SS) and the array manifold vector (AMV). A novel approach applied to the pseudospectrum extracts the correct peaks and removes the sidelobes perfectly. The principle working of the proposed algorithm is given and mathematical model derived. The computational burden of the new method is also presented and compared with other methods. The SSS algorithm is implemented with both linear and planar antenna arrays. An intensive Monte Carlo simulation is conducted and compared with other popular AOA methods to verify the effectiveness of the SSS algorithm.

Original language	English
Title of host publication	Broadband Communications, Networks, and Systems - 9th International EAI Conference, Broadnets 2018, Proceedings
Editors	Saud Althunibat, Victor Sucasas, Georgios Mantas
Publisher	Springer-Verlag Berlin Heidelberg
Pages	419-430
Number of pages	12
ISBN (Print)	9783030051945
DOIs	https://doi.org/10.1007/978-3-030-05195-2_41
Publication status	Published - 2019
Event	9th International EAI Conference on Broadband Communications, Networks, and Systems, Broadnets 2018 - Faro, Portugal Duration: 19 Sep 2018 → 20 Sep 2018

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	263
ISSN (Print)	1867-8211

Conference

Conference	9th International EAI Conference on Broadband Communications, Networks, and Systems, Broadnets 2018
Country/Territory	Portugal
City	Faro
Period	19/09/18 → 20/09/18

Keywords

Computational burden
Direction of arrival
Sensor array
Signal processing
Signal subspace
Wireless communication

Access to Document

10.1007/978-3-030-05195-2_41

Cite this

Al-Sadoon, M. A. G., Abduljabbar, N. A., Ali, N. T., Asif, R., Zweid, A., Alhassan, H., Noras, J. M., & Abd-Alhameed, R. A. (2019). A more efficient AOA method for 2D and 3D direction estimation with arbitrary antenna array geometry. In S. Althunibat, V. Sucasas, & G. Mantas (Eds.), Broadband Communications, Networks, and Systems - 9th International EAI Conference, Broadnets 2018, Proceedings (pp. 419-430). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 263). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-030-05195-2_41

Al-Sadoon, M. A. G. ; Abduljabbar, N. A. ; Ali, N. T. et al. / A more efficient AOA method for 2D and 3D direction estimation with arbitrary antenna array geometry. Broadband Communications, Networks, and Systems - 9th International EAI Conference, Broadnets 2018, Proceedings. editor / Saud Althunibat ; Victor Sucasas ; Georgios Mantas. Springer-Verlag Berlin Heidelberg, 2019. pp. 419-430 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{d8d61a06ba194f43b8167292e884bbaa,

title = "A more efficient AOA method for 2D and 3D direction estimation with arbitrary antenna array geometry",

abstract = "Direction of arrival (DOA) estimation is currently an active research topic in array signal processing applications. Thus, a more efficient method with better accuracy than the current subspace angle of arrival (AOA) methods is proposed in this paper. The proposed method is called subtracting signal subspace (SSS), which exploits the orthogonality between the signal subspace (SS) and the array manifold vector (AMV). A novel approach applied to the pseudospectrum extracts the correct peaks and removes the sidelobes perfectly. The principle working of the proposed algorithm is given and mathematical model derived. The computational burden of the new method is also presented and compared with other methods. The SSS algorithm is implemented with both linear and planar antenna arrays. An intensive Monte Carlo simulation is conducted and compared with other popular AOA methods to verify the effectiveness of the SSS algorithm.",

keywords = "Computational burden, Direction of arrival, Sensor array, Signal processing, Signal subspace, Wireless communication",

author = "Al-Sadoon, {M. A. G.} and Abduljabbar, {N. A.} and Ali, {N. T.} and R. Asif and A. Zweid and H. Alhassan and Noras, {J. M.} and Abd-Alhameed, {R. A.}",

note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019.; 9th International EAI Conference on Broadband Communications, Networks, and Systems, Broadnets 2018 ; Conference date: 19-09-2018 Through 20-09-2018",

year = "2019",

doi = "10.1007/978-3-030-05195-2_41",

language = "English",

isbn = "9783030051945",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

publisher = "Springer-Verlag Berlin Heidelberg",

pages = "419--430",

editor = "Saud Althunibat and Victor Sucasas and Georgios Mantas",

booktitle = "Broadband Communications, Networks, and Systems - 9th International EAI Conference, Broadnets 2018, Proceedings",

}

Al-Sadoon, MAG, Abduljabbar, NA, Ali, NT, Asif, R, Zweid, A, Alhassan, H, Noras, JM & Abd-Alhameed, RA 2019, A more efficient AOA method for 2D and 3D direction estimation with arbitrary antenna array geometry. in S Althunibat, V Sucasas & G Mantas (eds), Broadband Communications, Networks, and Systems - 9th International EAI Conference, Broadnets 2018, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 263, Springer-Verlag Berlin Heidelberg, pp. 419-430, 9th International EAI Conference on Broadband Communications, Networks, and Systems, Broadnets 2018, Faro, Portugal, 19/09/18. https://doi.org/10.1007/978-3-030-05195-2_41

A more efficient AOA method for 2D and 3D direction estimation with arbitrary antenna array geometry. / Al-Sadoon, M. A. G.; Abduljabbar, N. A.; Ali, N. T. et al.

Broadband Communications, Networks, and Systems - 9th International EAI Conference, Broadnets 2018, Proceedings. ed. / Saud Althunibat; Victor Sucasas; Georgios Mantas. Springer-Verlag Berlin Heidelberg, 2019. p. 419-430 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 263).

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

TY - GEN

T1 - A more efficient AOA method for 2D and 3D direction estimation with arbitrary antenna array geometry

AU - Al-Sadoon, M. A. G.

AU - Abduljabbar, N. A.

AU - Ali, N. T.

AU - Asif, R.

AU - Zweid, A.

AU - Alhassan, H.

AU - Noras, J. M.

AU - Abd-Alhameed, R. A.

N1 - Publisher Copyright: © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019.

PY - 2019

Y1 - 2019

N2 - Direction of arrival (DOA) estimation is currently an active research topic in array signal processing applications. Thus, a more efficient method with better accuracy than the current subspace angle of arrival (AOA) methods is proposed in this paper. The proposed method is called subtracting signal subspace (SSS), which exploits the orthogonality between the signal subspace (SS) and the array manifold vector (AMV). A novel approach applied to the pseudospectrum extracts the correct peaks and removes the sidelobes perfectly. The principle working of the proposed algorithm is given and mathematical model derived. The computational burden of the new method is also presented and compared with other methods. The SSS algorithm is implemented with both linear and planar antenna arrays. An intensive Monte Carlo simulation is conducted and compared with other popular AOA methods to verify the effectiveness of the SSS algorithm.

AB - Direction of arrival (DOA) estimation is currently an active research topic in array signal processing applications. Thus, a more efficient method with better accuracy than the current subspace angle of arrival (AOA) methods is proposed in this paper. The proposed method is called subtracting signal subspace (SSS), which exploits the orthogonality between the signal subspace (SS) and the array manifold vector (AMV). A novel approach applied to the pseudospectrum extracts the correct peaks and removes the sidelobes perfectly. The principle working of the proposed algorithm is given and mathematical model derived. The computational burden of the new method is also presented and compared with other methods. The SSS algorithm is implemented with both linear and planar antenna arrays. An intensive Monte Carlo simulation is conducted and compared with other popular AOA methods to verify the effectiveness of the SSS algorithm.

KW - Computational burden

KW - Direction of arrival

KW - Sensor array

KW - Signal processing

KW - Signal subspace

KW - Wireless communication

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U2 - 10.1007/978-3-030-05195-2_41

DO - 10.1007/978-3-030-05195-2_41

M3 - Conference contribution

AN - SCOPUS:85059738923

SN - 9783030051945

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 419

EP - 430

BT - Broadband Communications, Networks, and Systems - 9th International EAI Conference, Broadnets 2018, Proceedings

A2 - Althunibat, Saud

A2 - Sucasas, Victor

A2 - Mantas, Georgios

PB - Springer-Verlag Berlin Heidelberg

T2 - 9th International EAI Conference on Broadband Communications, Networks, and Systems, Broadnets 2018

Y2 - 19 September 2018 through 20 September 2018

ER -

Al-Sadoon MAG, Abduljabbar NA, Ali NT, Asif R, Zweid A, Alhassan H et al. A more efficient AOA method for 2D and 3D direction estimation with arbitrary antenna array geometry. In Althunibat S, Sucasas V, Mantas G, editors, Broadband Communications, Networks, and Systems - 9th International EAI Conference, Broadnets 2018, Proceedings. Springer-Verlag Berlin Heidelberg. 2019. p. 419-430. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-05195-2_41

A more efficient AOA method for 2D and 3D direction estimation with arbitrary antenna array geometry

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