RF AIDE Program Overview
Program Summary:
The RF AIDE program is a completed SBIR Phase II research and development effort focused on generating high-fidelity synthetic Radio Frequency datasets to support AI and machine learning training for radar-based applications. Developed by UTS in collaboration with military and commercial stakeholders, the RF AIDE program leverages generative models such as GANs and VAEs to augment training data for proximity fuzes, RF seekers, and other radar systems. The software addresses major challenges in over-the-air data collection by simulating complex spectrum conditions including clutter, jamming, and channel interference. The RF AIDE program supports a wide range of defense and commercial use cases and is positioned for Phase III transition opportunities.
Start Date:
2022
End Date:
2024
Primary Client:
U.S. Department of Defense (SBIR Phase II)
Supported Units:
Army Internet of Battlefield Things (IoBT)
Army Foundational Research for Electronic Warfare in Multi Domain Operations (FREEDOM)
DARPA RF Machine Learning Systems (RFMLS)
IARPA Securing Compartmented Information with Smart Radio Systems (SCISRS)
Commercial radar developers in automotive, maritime, and law enforcement
Locations:
Remote development with in-lab and limited field testing
Program Scope:
During Phase II, UTS developed a working prototype of the RF AIDE software to generate and augment high-quality synthetic data for Frequency Modulated Continuous Wave radar applications. The project focused on creating novel generative algorithms for proximity fuze waveforms, applying statistical analysis to assess fidelity and diversity, and demonstrating the effectiveness of augmented AI and machine learning models in RF target detection. Testing was conducted in laboratory evaluation scenarios, with preparations made for integration into military and commercial systems. Designed to simulate complex spectrum conditions such as jamming, clutter, and hardware impairments, RF AIDE provides robust signal modeling that supports both defense and commercial radar environments.
Service Areas:
AI/ ML
R & D
Synthetic Data Generation
Program Management
DoD Technology Transition
Spectrum and Signal Processing
Radar Systems
Facility Type:
RF radar and spectrum technology for military and commercial environments
