Case Study: Multi-Source Data Fusion for Undersea Warfare

TerraCoders developed a lightweight, container-compatible platform for fusing heterogeneous tactical data sources to support undersea warfare decision-making. Submitted under SBIR topic N252-096, this Phase I effort demonstrated the feasibility of low-footprint ingestion and correlation systems for use in bare-metal, resource-constrained environments.

Challenge

Operators in undersea warfare face overwhelming volumes of sensor and environmental data, often requiring manual correlation across disparate systems. Current platforms lack real-time fusion, usability, and deployability in constrained shipboard environments.

Our Approach

• Designed a Kubernetes-native ingest and fusion platform compatible with bare-metal deployment
• Simulated ingestion of sonar, radar, acoustic, and ops data in formats like JSON, CSV, PDF
• Built Redis-based correlation engine with PostgreSQL storage backend
• Created a UI prototype using React and Grafana for cognitive support
• Embedded classification tagging mechanisms to support future ATO-readiness

Prototype Capabilities

• Stream ingestion via Redis Streams and file adapters
• Data normalization and tagging for fusion processing
• Visual correlation dashboards with D3/Grafana UI components
• Containerized services ready for Kubernetes deployment and Helm packaging

Outcomes & Next Steps

The prototype validated multi-source ingestion and visualization on unclassified testbeds with simulated latency and conflict scenarios. Future phases aim to integrate the system with GCCS-M or CV-TSC and adapt it for real-time fleet deployments. Civilian applications in maritime security and sensor fusion are also under exploration.