MSG-SET-183 Specialists' Meeting on "Drone Detectability: Modelling the Relevant Signature"
Abstract
The proliferation of small UAS platforms (sUAS), which includes the former known as Low, Slow and Small (LSS) within the NATO UAV Class 1, flying singularly or in large formation (e.g. swarm of drones), 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. A proper system design should start from an adequate modelling of the context and simulation of the system behaviour. One of the most challenging aspects is the capability to model the threats, both from signature and behaviour points of view. Models will be used only for analysis and design of Counter sUAS systems, starting from simulation in a full synthetic environment. The capabilities of detection of small UAS are generally affiliated with one or more of their attributes, which have very small radar cross sections, very low thermal signatures, are potentially camouflaged to visible cameras, low/no-acoustic signature, very few metal components, automated with limited to no human control. The ability to detect these UASs is strongly related to multiple detection technologies to be integrated or fused into a single detection/classification architecture to ensure higher probability of detection. The objectives of this Specialists Meeting is 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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 30, 2021
- Accession Number
- AD1151839
Entities
People
- Alfonso Farina
Organizations
- NATO Science and Technology Organization