High Level Data Fusion (HLDF) System Architecture for Counter Unmanned Aerial Systems (CUAS)

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Opportunity and Challenges:

  • Unmanned Aerial Systems are proving to be a real threat in multiple domains.

  • Multiple sensors and isolated solutions exists for detecting and tracking drones on a case-by-case basis.

  • How can we flexibly integrate multiple sensors and effectors to detect and counter drones and swarms of drones?

Technical Contributions:  

  • This project develops a Model-based Reference Architecture for High-level Data Fusion (HLDF) for Counter Drone Operations. 
  • This is a flexible HLDF system architecture that provides system-of-systems interoperability between existing sensors and Command & Control (C2) systems, maximizes reusability of key technical resources including software modules, and supports future innovation and evolution of HLDF, C2 and sensing systems.  

Related Works:

  1. High-Level Data Fusion for Modern Command and Control (C2) and Counter Small Unmanned Systems

Project Sponsors