Rule-based Autonomous Tracking of RF Transmitter Using a UAV Swarm

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Rule-based Autonomous Tracking of RF Transmitter Using a UAV Swarm

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Y. Spyridis, T. Lagkas, P. Sarigiannidis, J. Zhang: Rule-based Autonomous Tracking of RF Transmitter Using a UAV Swarm. 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), IEEE, 2020.

Περίληψη

In this paper, a local decision rule-based algorithm is introduced that allows a group of unmanned aerial vehicles (UAVs) to cooperatively trail a mobile radio frequency transmitter. The algorithm utilizes the received signal strength indicator (RSSI) values at each UAV to take a decision that leads the group closer to the target and allows them to preserve minimum distance. The novelty of the proposed solution lies in the fact that it provides an effective tracking technique in noisy environments without relying in distance calculations, which are inevitably inaccurate due to measurement errors. A comprehensive simulation compared the introduced algorithm with a trilateration-based method and demonstrated the increased time efficiency of the proposed technique. © 2020 IEEE.

Σύνδεσμοι

BibTeX (Download)

@conference{Spyridis2020,
title = {Rule-based Autonomous Tracking of RF Transmitter Using a UAV Swarm},
author = { Y. Spyridis and T. Lagkas and P. Sarigiannidis and J. Zhang},
editor = { Networks 2020 12th International Symposium on Communication Systems and Digital Signal Processing ({CSNDSP})},
url = {https://www.researchgate.net/publication/346808103_Rule-based_Autonomous_Tracking_of_RF_Transmitter_Using_a_UAV_Swarm},
doi = {10.1109/csndsp49049.2020.9249591},
year  = {2020},
date = {2020-07-01},
booktitle = {2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)},
journal = {2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020},
publisher = {IEEE},
abstract = {In this paper, a local decision rule-based algorithm is introduced that allows a group of unmanned aerial vehicles (UAVs) to cooperatively trail a mobile radio frequency transmitter. The algorithm utilizes the received signal strength indicator (RSSI) values at each UAV to take a decision that leads the group closer to the target and allows them to preserve minimum distance. The novelty of the proposed solution lies in the fact that it provides an effective tracking technique in noisy environments without relying in distance calculations, which are inevitably inaccurate due to measurement errors. A comprehensive simulation compared the introduced algorithm with a trilateration-based method and demonstrated the increased time efficiency of the proposed technique. © 2020 IEEE.},
keywords = {Mobile target tracking, RSSI, UAV swarm, Unmanned Aerial Vehicles (UAVs), wireless sensor networks},
pubstate = {published},
tppubtype = {conference}
}
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