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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Upadhyay, Prabhat Kumar | en_US |
dc.date.accessioned | 2025-01-15T07:10:38Z | - |
dc.date.available | 2025-01-15T07:10:38Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | Scazzoli, D., Moro, S., Teeda, V., Upadhyay, P. K., & Magarini, M. (2024). Experimental Comparison of UAV-Based RSSI and AoA Localization. IEEE Sensors Letters, 8(1), 1–4. https://doi.org/10.1109/LSENS.2023.3336375 | en_US |
dc.identifier.issn | 2475-1472 | - |
dc.identifier.other | EID(2-s2.0-85178062564) | - |
dc.identifier.uri | https://doi.org/10.1109/LSENS.2023.3336375 | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/15452 | - |
dc.description.abstract | Localization of ground transmitters using unmanned aerial vehicles (UAVs) is a research field teeming with activity. While most experimental UAV-based localization systems in the literature use measures of signal strength, we take a novel approach, proposing an angle of arrival (AoA)-based system. We present a prototype that uses a 2 × 2 antenna array connected to a set of four coherent receivers based on software-defined radios. Furthermore, we provide a comparison of a classical RSSI-based ranging approach to a pure AoA-based approach using the 2-D distance ranging error as a common metric. © 2017 IEEE. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.source | IEEE Sensors Letters | en_US |
dc.subject | angle of arrival (AoA) | en_US |
dc.subject | localization | en_US |
dc.subject | Sensor applications | en_US |
dc.subject | software defined radio (SDR) | en_US |
dc.subject | unmanned aerial vehicles (UAVs) | en_US |
dc.title | Experimental Comparison of UAV-Based RSSI and AoA Localization | en_US |
dc.type | Journal Article | en_US |
Appears in Collections: | Department of Electrical Engineering |
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