- Title
- Complexity Reduction for Hybrid TOA/AOA Localization in UAV-Assisted WSNs
- Creator
- Tran, Le Chung; Le, Anh Tuyen; Huang, Xiaojing; Dutkiewicz, Eryk; Ngo, Duy; Taparugssanagorn, Attaphongse
- Relation
- IEEE Sensors Letters Vol. 7, Issue 11, p. 1-4
- Publisher Link
- http://dx.doi.org/10.1109/LSENS.2023.3322968
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- journal article
- Date
- 2023
- Description
- Unmanned aerial vehicles (UAVs)-assisted wireless sensor networks (WSNs) have tremendous potential applications due to their flexibility and rapid deployment. Hybrid time-of-arrival (TOA) and angle-of-arrival (AOA) localization techniques are commonly used due to their high accuracy. Conventional TOA/AOA localization algorithms require both zenith and azimuth angle estimations at each agent. Since a zenith-and-azimuth AOA estimation requires an L-shape antenna array and complicated two-dimensional signal processing, conventional TOA/AOA algorithms lead to both hardware and computational complexity and high power consumption at each agent. This paper proposes a hybrid TOA/AOA localization algorithm, named
$T1A_{a}$ $T1A_{a}$ $T1A_{a}$ - Subject
- sensor signal processing; angle-of-arrival (AOA); non-GPS localization; time-of-arrival (TOA); unmanned aerial vehicle (UAV); wireless sensor network (WSN)
- Identifier
- http://hdl.handle.net/1959.13/1493628
- Identifier
- uon:53611
- Identifier
- ISSN:2475-1472
- Rights
- © 2023 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0
- Language
- eng
- Full Text
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