Effective UAV Navigation for Cellular-Assisted Radio Sensing, Imaging, and Tracking

Savkin, AV; Ni, W; Eskandari, M

Effective UAV Navigation for Cellular-Assisted Radio Sensing, Imaging, and Tracking

Savkin, AV Ni, W

Eskandari, M

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Vehicular Technology, 2023, 72, (10), pp. 13729-13733
Issue Date:: 2023-10-01

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Field	Value	Language
dc.contributor.author	Savkin, AV
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X
dc.contributor.author	Eskandari, M
dc.date.accessioned	2024-04-11T22:51:43Z
dc.date.available	2024-04-11T22:51:43Z
dc.date.issued	2023-10-01
dc.identifier.citation	IEEE Transactions on Vehicular Technology, 2023, 72, (10), pp. 13729-13733
dc.identifier.issn	0018-9545
dc.identifier.issn	1939-9359
dc.identifier.uri	http://hdl.handle.net/10453/177778
dc.description.abstract	The paper develops a new cellular-assisted radio surveillance and tracking technique with an Unmanned Aerial Vehicle (UAV) being the mobile receiver and a static cellular ground base station (BS) being the illuminating source. Under the proposed framework, the resolution of the radio surveillance and imaging depends critically on the relative positions (or geometry) between the UAV, BS and target, as well as the instantaneous motions of the UAV and target. A novel UAV navigation law is developed to guarantee that after some time, the range resolution, the azimuth resolution and the distance between the UAV and the moving target will be below some given upper limits. Its mathematically rigorous analysis is presented. Simulations demonstrated the effectiveness of the developed navigation law.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Transactions on Vehicular Technology
dc.relation.isbasedon	10.1109/TVT.2023.3277426
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 10 Technology
dc.subject.classification	Automobile Design & Engineering
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.title	Effective UAV Navigation for Cellular-Assisted Radio Sensing, Imaging, and Tracking
dc.type	Journal Article
utslib.citation.volume	72
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	10 Technology
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2024-04-11T22:51:41Z
pubs.issue	10
pubs.publication-status	Published
pubs.volume	72
utslib.citation.issue	10

Abstract:

The paper develops a new cellular-assisted radio surveillance and tracking technique with an Unmanned Aerial Vehicle (UAV) being the mobile receiver and a static cellular ground base station (BS) being the illuminating source. Under the proposed framework, the resolution of the radio surveillance and imaging depends critically on the relative positions (or geometry) between the UAV, BS and target, as well as the instantaneous motions of the UAV and target. A novel UAV navigation law is developed to guarantee that after some time, the range resolution, the azimuth resolution and the distance between the UAV and the moving target will be below some given upper limits. Its mathematically rigorous analysis is presented. Simulations demonstrated the effectiveness of the developed navigation law.

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http://hdl.handle.net/10453/177778