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

A. T. Le; L. C. Tran; X. Huang; C. Ritz; E. Dutkiewicz; A. Bouzerdoum; D. Franklin

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

A. T. Le L. C. Tran X. Huang C. Ritz E. Dutkiewicz A. Bouzerdoum D. Franklin

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS), 2020, 00, pp. 1-6
Issue Date:: 2020

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Field	Value	Language
dc.contributor.author	A. T. Le
dc.contributor.author	L. C. Tran
dc.contributor.author	X. Huang
dc.contributor.author	C. Ritz
dc.contributor.author	E. Dutkiewicz
dc.contributor.author	A. Bouzerdoum
dc.contributor.author	D. Franklin
dc.date	2020-12-14
dc.date.accessioned	2021-02-18T06:25:58Z
dc.date.available	2021-02-18T06:25:58Z
dc.date.issued	2020
dc.identifier.citation	2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS), 2020, 00, pp. 1-6
dc.identifier.isbn	978-1-7281-9972-6
dc.identifier.uri	http://hdl.handle.net/10453/146197
dc.description.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.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS)
dc.relation.ispartof	2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS)
dc.relation.isbasedon	10.1109/icspcs50536.2020.9310043
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Hybrid TOA/AOA Localization with 1D Angle Estimation in UAV-assisted WSN
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	open_access	*
dc.date.updated	2021-02-18T06:25:44Z
pubs.finish-date	2020-12-16
pubs.publication-status	Published
pubs.start-date	2020-12-14
pubs.volume	00

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.

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http://hdl.handle.net/10453/146197