An Artificial Intelligence Application for a Network of LPI-FMCW Mini-radar to Recognize Killer-drones
Alberto Lupidi, Alessandro Cantelli-Forti, Edmond Jajaga, Walter Matta
2022
Abstract
The foundation of Internet Information Systems has been initially inspired by military applications. Means of air attack are pervasive in all modern armed conflicts or terrorist actions. Thus, building web-enabled, real-time, rapid and intelligent distributed decision-making systems is of immense importance. We present the intermediate results of the NATO-SPS project “Anti-Drones” that aims to fuse data from low-probability-of-intercept mini radars and a network of optical sensors communicating with web interfaces. The main focus of this paper is describing the architecture of the system and the low-cost miniradar sensor exploiting micro-Doppler effect to detect, track and recognize threats. The recognition of the target via an artificial intelligence system is the pillar to assess these threats in a reliable way.
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in Harvard Style
Lupidi A., Cantelli-Forti A., Jajaga E. and Matta W. (2022). An Artificial Intelligence Application for a Network of LPI-FMCW Mini-radar to Recognize Killer-drones. In Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-613-2, pages 320-326. DOI: 10.5220/0011590300003318
in Bibtex Style
@conference{webist22,
author={Alberto Lupidi and Alessandro Cantelli-Forti and Edmond Jajaga and Walter Matta},
title={An Artificial Intelligence Application for a Network of LPI-FMCW Mini-radar to Recognize Killer-drones},
booktitle={Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2022},
pages={320-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011590300003318},
isbn={978-989-758-613-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 18th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - An Artificial Intelligence Application for a Network of LPI-FMCW Mini-radar to Recognize Killer-drones
SN - 978-989-758-613-2
AU - Lupidi A.
AU - Cantelli-Forti A.
AU - Jajaga E.
AU - Matta W.
PY - 2022
SP - 320
EP - 326
DO - 10.5220/0011590300003318