STONewsArchive: Drone Detectability: Modelling the Relevant Signature
Title:
Drone Detectability: Modelling the Relevant Signature
Start_Publishing:
05/05/2021
Panel_Page:
MSG
Page_ID:
3811
Main_Body_Multi:
The proliferation of small UAS platforms (sUAS), which includes the former known as Low, Slow and Small (LSS) within the NATO UAV Class 1, brings with it a rapidly evolving threat for national defence and security agencies in various and challenging new scenarios. Thus, next generation defence systems must be designed to face such threats and a proper system design should start from an adequate modelling of the context and simulation of the system behaviour.
Last week, the NATO Modelling and Simulation Group (NMSG) and the Sensors and Electronics Technology (SET) Panel held a Research Specialists’ Meeting (RSM) on “Drone Detectability: Modelling the Relevant Signature” to understand the requirements that have to be met by a drone detection system with respect to the drone characteristics that constitute the sUAS signature.
Over 100 representatives from the military, government, academia, and industry attended the 3-day event to address current and emerging methodologies to define LSS signature in order to be applied in Counter UAS Systems.
This RSM facilitated the information exchange on sUAS signature characterization and related modelling through presentations from research and innovation points of view, including theoretical studies, and trials and experimentation, based on research combined with modelling activities.
The RSM Meeting Proceedings (papers, presentations and Technical Evaluation Report) will be published on the
STO Website
.
For further information, please contact
SET@cso.nato.int
or
MSG@cso.nato.int
.
Page_Intro:
Last week, the NATO Modelling and Simulation Group (NMSG) and the Sensors and Electronics Technology (SET) Panel held a Research Specialists’ Meeting (RSM) on “Drone Detectability: Modelling the Relevant Signature” to understand the requirements that have to be met by a drone detection system with respect to the drone characteristics that constitute the sUAS signature. Over 100 representatives from the military, government, academia, and industry attended the 3-day event to address current and emerging methodologies to define LSS signature in order to be applied in Counter UAS Systems.
HomePageImage:
2021-MSG-SET-183-drone.png
HomePageBodyText:
The proliferation of small UAS platforms (sUAS), which includes the former known as Low, Slow and Small (LSS) within the NATO UAV Class 1, brings with it a rapidly evolving threat for national defence and security agencies in various and challenging new scenarios. Thus, next generation defence systems must be designed to face such threats and a proper system design should start from an adequate modelling of the context and simulation of the system behaviour.
Last week, the NATO Modelling and Simulation Group (NMSG) and the Sensors and Electronics Technology (SET) Panel held a Research Specialists’ Meeting (RSM) on “Drone Detectability: Modelling the Relevant Signature” to understand the requirements that have to be met by a drone detection system with respect to the drone characteristics that constitute the sUAS signature.
Over 100 representatives from the military, government, academia, and industry attended the 3-day event to address current and emerging methodologies to define LSS signature in order to be applied in Counter UAS Systems.
This RSM facilitated the information exchange on sUAS signature characterization and related modelling through presentations from research and innovation points of view, including theoretical studies, and trials and experimentation, based on research combined with modelling activities.
The RSM Meeting Proceedings (papers, presentations and Technical Evaluation Report) will be published on the
STO Website
.
For further information, please contact
SET@cso.nato.int
or
MSG@cso.nato.int
.
Created at 05/05/2021 16:56 by ad.rodes
Last modified at 06/05/2021 10:29 by ad.rodes
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