Spectral Situational Awareness
Streaming analytics solutions for real-time information analysis and rapid decision-making to ensure successful mission operations
Turn data into action
Vadum’s real-time analytics tools help analysts make sense of a data-rich electronic environment by fusing streaming data from heterogeneous sensors to enable rapid decision-making and successful mission operations. Vadum has developed streaming analytics solutions for real-time information analysis for tactical applications featuring a flexible software architecture for execution on both small standalone systems and and distributed platforms.
EW Battle Damage Assessment (EW-BDA)
EW-BDA provides real-time feedback of an Electronic Attack (EA) by fusing over the air and multi-source data to generate threat behavior features reflecting RF link quality to increase threat-centric situational awareness and support rapid decision-making in contested electromagnetic environments.
Spectrum Situational Awareness (EW-SSA)
EW-SSA is a sensor agnostic, compute efficient solution with intelligent spectrum scanning, detection, and classification for automated, real-time spectral analysis, performing machine learning on streaming spectral data to improve EWO situational awareness on an electronic battlefield.
RF Sentinal – Identify, Locate, and Track
An edge-enabled, ML driven autonomous spectral optimization solution for detection, classification, geolocation, and tracking of both friendly and adversary RF signal emitters enabling efficient spectral conflict mitigation and reducing EW operator cognitive load.
Electronic Warfare Decision Aids
Vadum spectral decision aids empower users with real-time RF spectrum emitter recognition and adversarial presence detection to make rapid, effective decisions with high confidence
- Assess EW attack effectiveness with detailed, threat centric EW-BDA situational awareness
- Tactical automated real-time EM situational awareness on an electronic battlefield
- ML-driven signal identification and resource management to get data to the right place at the right time
- Real-time jammer characterization and EP recommendations
Attributes
A highly scalable multi-platform architecture supporting plug-and-play 3rd party visualizations to achieve tactical domain overmatch across the electromagnetic spectrum for improved mission outcomes
- Hardware agnostic edge computing
- Highly accurate signal detection and modulation recognition
- Fully concurrent, multi-rate, real-time AI/ML and decision support
- High volume streaming data analytics from heterogeneous sensors
- Multi-platform analytics scalability
- Explainable machine learning algorithms