Performance Evaluation and Hybrid Application of the Greedy and Predictive UAV Trajectory Optimization Methods for Localizing a Target Mobile Device Article Swipe
This study investigates unmanned aerial vehicle (UAV) trajectory planning strategies for localizing a target mobile device in emergency situations. The global navigation satellite system (GNSS)-based accurate position information of a target mobile device in an emergency may not be always available to first responders. For example, 1) GNSS positioning accuracy may be degraded in harsh signal environments and 2) in countries where emergency positioning service is not mandatory, some mobile devices may not report their locations. Under the cases mentioned above, one way to find the target mobile device is to use UAVs. Dispatched UAVs may search the target directly on the emergency site by measuring the strength of the signal (e.g., LTE wireless communication signal) from the target mobile device. To accurately localize the target mobile device in the shortest time possible, UAVs should fly in the most efficient way possible. The two popular trajectory optimization strategies of UAVs are greedy and predictive approaches. However, the research on localization performances of the two approaches has been evaluated only under favorable settings (i.e., under good UAV geometries and small received signal strength (RSS) errors); more realistic scenarios still remain unexplored. In this study, we compare the localization performance of the greedy and predictive approaches under realistic RSS errors (i.e., up to 6 dB according to the ITU-R channel model).
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.33012/2023.18666
- OA Status
- green
- Cited By
- 5
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4320484679
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4320484679Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.33012/2023.18666Digital Object Identifier
- Title
-
Performance Evaluation and Hybrid Application of the Greedy and Predictive UAV Trajectory Optimization Methods for Localizing a Target Mobile DeviceWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-13Full publication date if available
- Authors
-
Halim Lee, Jiwon SeoList of authors in order
- Landing page
-
https://doi.org/10.33012/2023.18666Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2302.11740Direct OA link when available
- Concepts
-
GNSS applications, RSS, Computer science, Real-time computing, Trajectory, Greedy algorithm, Mobile device, Wireless, Global Positioning System, Simulation, Algorithm, Telecommunications, Operating system, Physics, AstronomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2023: 4Per-year citation counts (last 5 years)
- References (count)
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45Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| counts_by_year[1].year | 2023 |
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| primary_location.source.display_name | Proceedings of the Institute of Navigation ... International Technical Meeting/Proceedings of the ... International Technical Meeting of The Institute of Navigation |
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| publication_date | 2023-02-13 |
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