Improved Performance Two-Dimensional Direction of Arrival Estimation Algorithm with Unknown Number of Noncoherent Sources

Nizar Tayem; Ahmed A. Hussain; Abu Muhammad Moinuddeen; Redha M. Radaydeh; Jaafar M. Alghazo

doi:10.1109/CICN56167.2022.10008308

Improved Performance Two-Dimensional Direction of Arrival Estimation Algorithm with Unknown Number of Noncoherent Sources

Nizar Tayem, Ahmed A. Hussain, Abu Muhammad Moinuddeen, Redha M. Radaydeh, Jaafar M. Alghazo

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

Abstract

Two-dimensional direction of arrival estimation is a computationally complex problem that has been the focus of research in the area of array signal processing for several decades now. This paper proposes a novel2D DOA azimuth and elevation angle estimation algorithm for multiple RF noncoherent sources using an L-shaped array antenna configuration. The proposed method employs a MUSIC-like estimation algorithm in conjunction with QR decomposition to improve the accuracy of 2D DOA estimation and provide much lower computational complexity when compared with existing methods such as the Capon method. It does not require knowing the number of sources in advance and pairs the estimated azimuth and elevation angles automatically for multiple sources. Simulation results are presented to validate the efficacy of the proposed method and its performance is compared with the Capon method.

Original language	English (US)
Title of host publication	Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	590-594
Number of pages	5
ISBN (Electronic)	9781665487719
DOIs	https://doi.org/10.1109/CICN56167.2022.10008308
State	Published - 2022
Externally published	Yes
Event	14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022 - Al-Khobar, Saudi Arabia Duration: Dec 4 2022 → Dec 6 2022

Publication series

Name	Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022

Conference

Conference	14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022
Country/Territory	Saudi Arabia
City	Al-Khobar
Period	12/4/22 → 12/6/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

2D DOA estimation
azimuth and elevation angles
Capon's method
computational complexity
L-shaped array

Publisher link

10.1109/CICN56167.2022.10008308

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Tayem, N., Hussain, A. A., Moinuddeen, A. M., Radaydeh, R. M., & Alghazo, J. M. (2022). Improved Performance Two-Dimensional Direction of Arrival Estimation Algorithm with Unknown Number of Noncoherent Sources. In Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022 (pp. 590-594). (Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CICN56167.2022.10008308

Improved Performance Two-Dimensional Direction of Arrival Estimation Algorithm with Unknown Number of Noncoherent Sources. / Tayem, Nizar; Hussain, Ahmed A.; Moinuddeen, Abu Muhammad et al.
Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 590-594 (Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022).

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

Tayem, N, Hussain, AA, Moinuddeen, AM, Radaydeh, RM & Alghazo, JM 2022, Improved Performance Two-Dimensional Direction of Arrival Estimation Algorithm with Unknown Number of Noncoherent Sources. in Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022. Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022, Institute of Electrical and Electronics Engineers Inc., pp. 590-594, 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022, Al-Khobar, Saudi Arabia, 12/4/22. https://doi.org/10.1109/CICN56167.2022.10008308

Tayem N, Hussain AA, Moinuddeen AM, Radaydeh RM, Alghazo JM. Improved Performance Two-Dimensional Direction of Arrival Estimation Algorithm with Unknown Number of Noncoherent Sources. In Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 590-594. (Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022). doi: 10.1109/CICN56167.2022.10008308

Tayem, Nizar ; Hussain, Ahmed A. ; Moinuddeen, Abu Muhammad et al. / Improved Performance Two-Dimensional Direction of Arrival Estimation Algorithm with Unknown Number of Noncoherent Sources. Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 590-594 (Proceedings - 2022 14th IEEE International Conference on Computational Intelligence and Communication Networks, CICN 2022).

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abstract = "Two-dimensional direction of arrival estimation is a computationally complex problem that has been the focus of research in the area of array signal processing for several decades now. This paper proposes a novel2D DOA azimuth and elevation angle estimation algorithm for multiple RF noncoherent sources using an L-shaped array antenna configuration. The proposed method employs a MUSIC-like estimation algorithm in conjunction with QR decomposition to improve the accuracy of 2D DOA estimation and provide much lower computational complexity when compared with existing methods such as the Capon method. It does not require knowing the number of sources in advance and pairs the estimated azimuth and elevation angles automatically for multiple sources. Simulation results are presented to validate the efficacy of the proposed method and its performance is compared with the Capon method.",

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AU - Alghazo, Jaafar M.

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N2 - Two-dimensional direction of arrival estimation is a computationally complex problem that has been the focus of research in the area of array signal processing for several decades now. This paper proposes a novel2D DOA azimuth and elevation angle estimation algorithm for multiple RF noncoherent sources using an L-shaped array antenna configuration. The proposed method employs a MUSIC-like estimation algorithm in conjunction with QR decomposition to improve the accuracy of 2D DOA estimation and provide much lower computational complexity when compared with existing methods such as the Capon method. It does not require knowing the number of sources in advance and pairs the estimated azimuth and elevation angles automatically for multiple sources. Simulation results are presented to validate the efficacy of the proposed method and its performance is compared with the Capon method.

AB - Two-dimensional direction of arrival estimation is a computationally complex problem that has been the focus of research in the area of array signal processing for several decades now. This paper proposes a novel2D DOA azimuth and elevation angle estimation algorithm for multiple RF noncoherent sources using an L-shaped array antenna configuration. The proposed method employs a MUSIC-like estimation algorithm in conjunction with QR decomposition to improve the accuracy of 2D DOA estimation and provide much lower computational complexity when compared with existing methods such as the Capon method. It does not require knowing the number of sources in advance and pairs the estimated azimuth and elevation angles automatically for multiple sources. Simulation results are presented to validate the efficacy of the proposed method and its performance is compared with the Capon method.

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Improved Performance Two-Dimensional Direction of Arrival Estimation Algorithm with Unknown Number of Noncoherent Sources

Abstract

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