AI, RF, and SOSA: The Next Frontier in Embedded Sensing
As defense and aerospace systems evolve toward more autonomous, intelligent, and networked operations, the convergence of AI, RF, and open standards like SOSA® is redefining embedded sensing at the edge. Platforms once reliant on dedicated signal processors and proprietary software stacks are now turning to modular, AI-accelerated systems that deliver real-time insights in SIGINT, radar, and SATCOM environments.
In this blog, we explore how SOSA®-aligned platforms are enabling next-generation embedded sensing—and how AI is revolutionizing what’s possible in edge RF systems.
The Challenge of Modern RF Sensing
Modern radar and SIGINT platforms must detect, classify, and respond to fast-changing electromagnetic environments. However, traditional systems:
- Rely on fixed-function DSPs that lack adaptability;
- Struggle with low-latency data fusion across sensor channels; and,
- Require bulky, power-hungry enclosures unsuited for forward-deployed operations.
These limitations make AI acceleration and modularity essential.
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