Hybrid TOA/AOA Localization with 1D Angle Estimation in UAV-assisted WSN

Anh Tuyen Le; Le Chung Tran; Xiaojing Huang; Christian Ritz; Eryk Dutkiewicz; Abdesselam Bouzerdoum; Daniel Franklin

doi:10.1109/ICSPCS50536.2020.9310043

Hybrid TOA/AOA Localization with 1D Angle Estimation in UAV-assisted WSN

Anh Tuyen Le, Le Chung Tran, Xiaojing Huang, Christian Ritz, Eryk Dutkiewicz, Abdesselam Bouzerdoum, Daniel Franklin

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

17 Citations (Scopus)

Abstract

Unmanned aerial vehicles (UAVs) are considered as a great solution for a flexible and rapid deployment of wireless sensor networks (WSN) in emergency scenarios. Hybrid time-of-arrival (TOA) and angle-of-arrival (AOA) localization is widely used to estimate agents' positions in WSN. Conventional TOA/AOA localization methods normally require both elevation and azimuth AOA estimations to estimate agents' positions, leading to complicated L-shape antenna arrays and power-thirsty two-dimensional signal processing at the agents. We propose a hybrid TOA/1AOA localization approach which only requires elevation AOA estimations to combine with TOA measurements. A weighted least square algorithm is proposed to solve the non-linear problem. The performance of the proposed method is compared with that of the conventional approach under various scenarios. Simulation results show that, by adjusting different parameters such as transmit power, signal bandwidth, and the number of anchors, the proposed method outperforms the conventional counterpart while significantly reduces the complexity of the agents.

Original language	English
Title of host publication	2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings
Editors	Tadeusz A Wysocki, Beata J Wysocki
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728199726
DOIs	https://doi.org/10.1109/ICSPCS50536.2020.9310043
Publication status	Published - 14 Dec 2020
Externally published	Yes
Event	14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Virtual, Adelaide, Australia Duration: 14 Dec 2020 → 16 Dec 2020

Publication series

Name	2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings

Conference

Conference	14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020
Country/Territory	Australia
City	Virtual, Adelaide
Period	14/12/20 → 16/12/20

Keywords

Angle of arrival (AOA)
target localization
time of arrival (TOA)
unmanned aerial vehicles
wireless sensor network (WSN)

Access to Document

10.1109/ICSPCS50536.2020.9310043

Cite this

Le, A. T., Tran, L. C., Huang, X., Ritz, C., Dutkiewicz, E., Bouzerdoum, A., & Franklin, D. (2020). Hybrid TOA/AOA Localization with 1D Angle Estimation in UAV-assisted WSN. In T. A. Wysocki, & B. J. Wysocki (Eds.), 2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings Article 9310043 (2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSPCS50536.2020.9310043

Le, Anh Tuyen ; Tran, Le Chung ; Huang, Xiaojing et al. / Hybrid TOA/AOA Localization with 1D Angle Estimation in UAV-assisted WSN. 2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings. editor / Tadeusz A Wysocki ; Beata J Wysocki. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings).

@inproceedings{149e4d002ad84f8a8cea57b38ac709b4,

title = "Hybrid TOA/AOA Localization with 1D Angle Estimation in UAV-assisted WSN",

abstract = "Unmanned aerial vehicles (UAVs) are considered as a great solution for a flexible and rapid deployment of wireless sensor networks (WSN) in emergency scenarios. Hybrid time-of-arrival (TOA) and angle-of-arrival (AOA) localization is widely used to estimate agents' positions in WSN. Conventional TOA/AOA localization methods normally require both elevation and azimuth AOA estimations to estimate agents' positions, leading to complicated L-shape antenna arrays and power-thirsty two-dimensional signal processing at the agents. We propose a hybrid TOA/1AOA localization approach which only requires elevation AOA estimations to combine with TOA measurements. A weighted least square algorithm is proposed to solve the non-linear problem. The performance of the proposed method is compared with that of the conventional approach under various scenarios. Simulation results show that, by adjusting different parameters such as transmit power, signal bandwidth, and the number of anchors, the proposed method outperforms the conventional counterpart while significantly reduces the complexity of the agents.",

keywords = "Angle of arrival (AOA), target localization, time of arrival (TOA), unmanned aerial vehicles, wireless sensor network (WSN)",

author = "Le, \{Anh Tuyen\} and Tran, \{Le Chung\} and Xiaojing Huang and Christian Ritz and Eryk Dutkiewicz and Abdesselam Bouzerdoum and Daniel Franklin",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 ; Conference date: 14-12-2020 Through 16-12-2020",

year = "2020",

month = dec,

day = "14",

doi = "10.1109/ICSPCS50536.2020.9310043",

language = "English",

series = "2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings",

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}

Le, AT, Tran, LC, Huang, X, Ritz, C, Dutkiewicz, E, Bouzerdoum, A & Franklin, D 2020, Hybrid TOA/AOA Localization with 1D Angle Estimation in UAV-assisted WSN. in TA Wysocki & BJ Wysocki (eds), 2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings., 9310043, 2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020, Virtual, Adelaide, Australia, 14/12/20. https://doi.org/10.1109/ICSPCS50536.2020.9310043

Hybrid TOA/AOA Localization with 1D Angle Estimation in UAV-assisted WSN. / Le, Anh Tuyen; Tran, Le Chung; Huang, Xiaojing et al.
2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings. ed. / Tadeusz A Wysocki; Beata J Wysocki. Institute of Electrical and Electronics Engineers Inc., 2020. 9310043 (2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings).

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

TY - GEN

T1 - Hybrid TOA/AOA Localization with 1D Angle Estimation in UAV-assisted WSN

AU - Le, Anh Tuyen

AU - Tran, Le Chung

AU - Huang, Xiaojing

AU - Ritz, Christian

AU - Dutkiewicz, Eryk

AU - Bouzerdoum, Abdesselam

AU - Franklin, Daniel

PY - 2020/12/14

Y1 - 2020/12/14

N2 - Unmanned aerial vehicles (UAVs) are considered as a great solution for a flexible and rapid deployment of wireless sensor networks (WSN) in emergency scenarios. Hybrid time-of-arrival (TOA) and angle-of-arrival (AOA) localization is widely used to estimate agents' positions in WSN. Conventional TOA/AOA localization methods normally require both elevation and azimuth AOA estimations to estimate agents' positions, leading to complicated L-shape antenna arrays and power-thirsty two-dimensional signal processing at the agents. We propose a hybrid TOA/1AOA localization approach which only requires elevation AOA estimations to combine with TOA measurements. A weighted least square algorithm is proposed to solve the non-linear problem. The performance of the proposed method is compared with that of the conventional approach under various scenarios. Simulation results show that, by adjusting different parameters such as transmit power, signal bandwidth, and the number of anchors, the proposed method outperforms the conventional counterpart while significantly reduces the complexity of the agents.

AB - Unmanned aerial vehicles (UAVs) are considered as a great solution for a flexible and rapid deployment of wireless sensor networks (WSN) in emergency scenarios. Hybrid time-of-arrival (TOA) and angle-of-arrival (AOA) localization is widely used to estimate agents' positions in WSN. Conventional TOA/AOA localization methods normally require both elevation and azimuth AOA estimations to estimate agents' positions, leading to complicated L-shape antenna arrays and power-thirsty two-dimensional signal processing at the agents. We propose a hybrid TOA/1AOA localization approach which only requires elevation AOA estimations to combine with TOA measurements. A weighted least square algorithm is proposed to solve the non-linear problem. The performance of the proposed method is compared with that of the conventional approach under various scenarios. Simulation results show that, by adjusting different parameters such as transmit power, signal bandwidth, and the number of anchors, the proposed method outperforms the conventional counterpart while significantly reduces the complexity of the agents.

KW - Angle of arrival (AOA)

KW - target localization

KW - time of arrival (TOA)

KW - unmanned aerial vehicles

KW - wireless sensor network (WSN)

UR - https://www.scopus.com/pages/publications/85100036350

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DO - 10.1109/ICSPCS50536.2020.9310043

M3 - Conference contribution

AN - SCOPUS:85100036350

T3 - 2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings

BT - 2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings

A2 - Wysocki, Tadeusz A

A2 - Wysocki, Beata J

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020

Y2 - 14 December 2020 through 16 December 2020

ER -

Le AT, Tran LC, Huang X, Ritz C, Dutkiewicz E, Bouzerdoum A et al. Hybrid TOA/AOA Localization with 1D Angle Estimation in UAV-assisted WSN. In Wysocki TA, Wysocki BJ, editors, 2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9310043. (2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings). doi: 10.1109/ICSPCS50536.2020.9310043

Hybrid TOA/AOA Localization with 1D Angle Estimation in UAV-assisted WSN

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