CJADC2 Interoperability: AI-/ML-based Sensor Fusion at the Edge

CJADC2 Interoperability: AI-/ML-based Sensor Fusion at the Edge

Published in Military Embedded Systems
By Dominic Perez

The U.S. Department of Defense (DoD) Coalition Joint All-Domain Command and Control (CJADC2) system is revolutionizing modern military operations by integrating data across all military domains: land, air, sea, space, and cyberspace. For effective multidomain operations, sensor data needs to be processed rapidly and shared across different military branches. Achieving this level of interoperability requires sophisticated technologies to handle vast and complex data streams in real time, particularly artificial intelligence (AI) and parallel sensor fusion processing at the edge.

AI and machine learning (ML) algorithms, vital enablers in CJADC2, help to automate decision-making by rapidly analyzing diverse data sets from various sensors and sources. These algorithms excel at processing complex sensor data, identifying patterns, generating actionable intelligence, and perhaps most importantly, they do not get tired or distracted as a human operator might. In the CJADC2 environment, information from different systems – whether airborne, space-based, or ground-based sensors – must be harmonized into a common operational picture (COP).