Radar Online Characterization System (ROCS)

Detect the unknown, understand the environment, protect with precision

Radar Online Characterization System

ROCS augments or replaces library lookup to provide actionable information for machine and human EW decisions for modern and emerging advanced, complex threat radars. Advanced machine-learning adapts to the environment and threats to learn new threat behavior and patterns in operation to inform, support EW actions, and create a persistent record of known and new threat behavior.

Adaptive

Vadum has developed and matured a machine-learning software capability to characterize complex, adaptive, agile emitters to improve EW decisions, situation awareness, and force survivability

Capability

The capability (ROCS – Radar Online Characterization System) has been integrated, tested, and is ready to integrate and run real-time today

Capability roadmap for pacing threats and taking advantage of modern processing and software architectures has been developed

Practical

Practical, low computational footprint machine learning provides a path to pace threats on current EW platforms and provide EW performance margin

ROCS Integrations

8 Sensors – Varying missions and capability priorities

12 Programs – Including S&T, T&E, and Program of Record

300+ Radars – Threat emitters including ground-based SAMs, maritime radars and missile seekers, airborne intercept radars, and airborne early warning radars in synthetic, HWIL, chamber, and over the air tests

11 +

Years of continuous innovation, development, integration, and testing

More Info

For more information on ROCS please reach us at info@vaduminc.com.