Low complexity DoA estimation in millimeter wave MIMO with RF lens

Gee Yong Suk; Yeon Geun Lim; H. Birkan Yilmaz; Jae Nam Shim; Dong Ku Kim; Chan Byoung Chae

doi:10.1109/WCNC.2018.8377155

Low complexity DoA estimation in millimeter wave MIMO with RF lens

Gee Yong Suk, Yeon Geun Lim, H. Birkan Yilmaz, Jae Nam Shim, Dong Ku Kim, Chan Byoung Chae

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

4 Citations (Scopus)

Abstract

In this paper, we propose a low complexity direction of arrival (DoA) estimation algorithm that operates in radio frequency (RF) lens-embedded millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems. In mmWave system, to compute the beamforming weighting coefficients in real-time, precise DoA estimation with low complexity is essential. We first investigate the conventional DoA estimation algorithms in mmWave MIMO systems and evaluate its performance. Then we introduce the Power pROfile Based Estimation (PROBE) algorithm for DoA estimation that operates in the RF lens-embedded system. We elaborate on the computational complexity of each algorithm in terms of the number of multiplication operations. We show that the proposed algorithm has a significant performance advantage in terms of estimation accuracy over other conventional algorithms in a complexity-constrained environment.

Original language	English
Title of host publication	2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781538617342
DOIs	https://doi.org/10.1109/WCNC.2018.8377155
Publication status	Published - 2018 Jun 8
Event	2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 - Barcelona, Spain Duration: 2018 Apr 15 → 2018 Apr 18

Publication series

Name	IEEE Wireless Communications and Networking Conference, WCNC
Volume	2018-April
ISSN (Print)	1525-3511

Other

Other	2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
Country/Territory	Spain
City	Barcelona
Period	18/4/15 → 18/4/18

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research was supported by Institute of Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) [IITP-2017-2017-0-02015, ICT Consilience Creative Program and IITP-2016-0-00208].

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

Engineering(all)

Access to Document

10.1109/WCNC.2018.8377155

Cite this

Suk, G. Y., Lim, Y. G., Yilmaz, H. B., Shim, J. N., Kim, D. K., & Chae, C. B. (2018). Low complexity DoA estimation in millimeter wave MIMO with RF lens. In 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 (pp. 1-6). (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2018-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2018.8377155

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title = "Low complexity DoA estimation in millimeter wave MIMO with RF lens",

abstract = "In this paper, we propose a low complexity direction of arrival (DoA) estimation algorithm that operates in radio frequency (RF) lens-embedded millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems. In mmWave system, to compute the beamforming weighting coefficients in real-time, precise DoA estimation with low complexity is essential. We first investigate the conventional DoA estimation algorithms in mmWave MIMO systems and evaluate its performance. Then we introduce the Power pROfile Based Estimation (PROBE) algorithm for DoA estimation that operates in the RF lens-embedded system. We elaborate on the computational complexity of each algorithm in terms of the number of multiplication operations. We show that the proposed algorithm has a significant performance advantage in terms of estimation accuracy over other conventional algorithms in a complexity-constrained environment.",

author = "Suk, {Gee Yong} and Lim, {Yeon Geun} and Yilmaz, {H. Birkan} and Shim, {Jae Nam} and Kim, {Dong Ku} and Chae, {Chan Byoung}",

note = "Funding Information: ACKNOWLEDGMENT This research was supported by Institute of Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) [IITP-2017-2017-0-02015, ICT Consilience Creative Program and IITP-2016-0-00208]. Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 ; Conference date: 15-04-2018 Through 18-04-2018",

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doi = "10.1109/WCNC.2018.8377155",

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Suk, GY, Lim, YG, Yilmaz, HB, Shim, JN, Kim, DK & Chae, CB 2018, Low complexity DoA estimation in millimeter wave MIMO with RF lens. in 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018. IEEE Wireless Communications and Networking Conference, WCNC, vol. 2018-April, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018, Barcelona, Spain, 18/4/15. https://doi.org/10.1109/WCNC.2018.8377155

Low complexity DoA estimation in millimeter wave MIMO with RF lens. / Suk, Gee Yong; Lim, Yeon Geun; Yilmaz, H. Birkan et al.
2018 IEEE Wireless Communications and Networking Conference, WCNC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6 (IEEE Wireless Communications and Networking Conference, WCNC; Vol. 2018-April).

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

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N1 - Funding Information: ACKNOWLEDGMENT This research was supported by Institute of Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) [IITP-2017-2017-0-02015, ICT Consilience Creative Program and IITP-2016-0-00208]. Publisher Copyright: © 2018 IEEE.

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N2 - In this paper, we propose a low complexity direction of arrival (DoA) estimation algorithm that operates in radio frequency (RF) lens-embedded millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems. In mmWave system, to compute the beamforming weighting coefficients in real-time, precise DoA estimation with low complexity is essential. We first investigate the conventional DoA estimation algorithms in mmWave MIMO systems and evaluate its performance. Then we introduce the Power pROfile Based Estimation (PROBE) algorithm for DoA estimation that operates in the RF lens-embedded system. We elaborate on the computational complexity of each algorithm in terms of the number of multiplication operations. We show that the proposed algorithm has a significant performance advantage in terms of estimation accuracy over other conventional algorithms in a complexity-constrained environment.

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ER -

Low complexity DoA estimation in millimeter wave MIMO with RF lens

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