W56KGU24C0005

Small Business Innovation Research Program (SBIR) Phase I

Wideband RF Sensing Algorithms for Detection of Priority Ground RF-Enabled Threats

Wideband RF Sensing Algorithms for Detection of Priority Ground RF-Enabled Threats

Helios Remote Sensing Systems, Inc. will leverage emergent combinations of commercially available high-rate Analog-to-Digital Converters (ADCs) and advanced Field Programmable Gate Arrays (FPGAs) to detect a broad spectrum of priority Radio Frequency (RF)-enabled threats. In Phase I, we will identify novel algorithms and techniques for threat/signal identification enabled by wideband COTS hardware to detect representative Radio Frequency (RF) enabled threats targeting ground platforms. We will use representative class of threats to define an extendable proof of concept, suite of algorithms for wideband threat identification on identified COTS hardware. We will define requirements for the algorithms and validate the method/framework for identifying and characterizing threats. We will measure performance of the algorithms against such metrics as speed, accuracy, and rate of false characterization, as well as proficiency in successfully characterizing out of library threats. In Phase II, we will implement the prototype algorithms and extend them to include additional classes of threats. We will demonstrate generalized identification algorithms for all types of RF-threats to ground platforms within a digital M&S environment and provide report documenting findings. The algorithms will be assessed based on effectiveness criteria mentioned above, as well as ease and speed of algorithm retraining.

The goal of phase I is to establish the technical merit, feasibility, and commercial potential of proposed R&D efforts and determine the quality of performance of the small business awardee organization.

A23-008

A232-008-0166

23.2

Marc Passy