TIGER – Techniques for the Improvement of Geospatial RF detection
This grant opportunity aims to develop AI/ML techniques for detecting and locating weak radio frequency (RF) signals from a single Collaborative Combat Aircraft (CCA) platform amidst stronger signals, enhancing battlespace awareness. The project skips Phase I and moves directly to Phase II, requiring evidence of prior work similar to a "Phase I-type" effort, detailed technical proposals, and a…
The objective is to develop, analyze, and deploy artificial intelligence (AI) or machine learning (ML) based techniques for the detection and geolocation of weak/obscure RF emitters from a single Collaborative Combat Aircraft (CCA) platform in the presence of strong emitters for improved battles…
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