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FAROS-E : a compact and low-cost millimeter wave surveillance radar for real time drone detection and classification

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Rahman_Robertson_IRS2021_Final_Accepted_version.pdf (775.6Kb)
Date
02/07/2021
Author
Rahman, S
Robertson, DA
Keywords
Phantoms
Real-time systems
Surveillance
Airborne radar
Millimeter wave radar
Phase noise
Radar detection
QC Physics
T Technology
NDAS
AC
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Abstract
This paper describes the system architecture and performance of the FAROS-E 77 GHz radar designed and built at the University of St Andrews for real time drone detection and classification (drone vs non-drone). The motivation behind the system is to demonstrate a highly reliable drone classification sensor for security surveillance in a compact, low-cost and potentially portable form factor. The low phase noise, coherent architecture exploits the high Doppler sensitivity available at millimeter wave frequencies, to enable robust micro-Doppler signature analysis and classification. Outdoor trials of FAROS-E have yielded high fidelity data and shown very promising results as a short-range system capable of detecting a DJI Phantom Standard 3 up to similar to 300 m and classifying it up to similar to 150 m. The classification algorithm is capable of classifying the presence of a drone even when it is hovering stationary.
Citation
Rahman , S & Robertson , DA 2021 , FAROS-E : a compact and low-cost millimeter wave surveillance radar for real time drone detection and classification . in G Lange (ed.) , 2021 21st International Radar Symposium (IRS) . , 9466175 , International Radar Symposium (IRS) , vol. 21 , IEEE , 2021 21st International Radar Symposium , Berlin , Germany , 21/06/21 . https://doi.org/10.23919/IRS51887.2021.9466175
 
conference
 
Publication
2021 21st International Radar Symposium (IRS)
DOI
https://doi.org/10.23919/IRS51887.2021.9466175
ISSN
2155-5745
Type
Conference item
Rights
Copyright © 2021 DGON. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.23919/IRS51887.2021.9466175.
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/24609

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