XL SCIENTIFIC LLC — Department of Defense SBIR Phase I: AF221-0007
XL SCIENTIFIC LLC — SBIR Phase I award from Department of Defense.
Phase I SBIR feasibility signal
- Phase I awards fund proof-of-concept work. For capture teams, they mark early interest from Department of Defense in a technical approach.
- Watch for Phase II follow-ons from the same firm/topic family — that conversion path is where budgets and transition pressure rise.
- Obligated amount $149,576. Cross-check similar awards in the same agency and technology tags for going-rate context.
- Topic code AF221-0007 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $149,576
- Agency
- Department of Defense · Air Force
- Program / Phase
- SBIR · Phase I
- Topic
- AF221-0007
- Solicitation
- 22.1
- NAICS
- —
- Place of performance
- NM
- Period
- 2022-08-25 → 2023-06-01
Description
Verus Research is pleased to respond to the Air Force (AF) SBIR solicitation AF221-0007 entitled “RF System Response and Analysis”. In this solicitation, the AF is seeking “…high fidelity modeling and simulation (M&S) tools capable of evaluating system performance of an actively tracking Radio Frequency (RF) seeker system subject to High Energy Laser (HEL) irradiation…to support system analysis related to the degradation and mission level impact and conduct active system testing to evaluate utility of predictive capability prior to HEL test activity. The end goal is to have a robust predictive capability.” To address these requirements, the Verus Research team will apply its deep-domain expertise working on several related programs for the Department of Defense (DoD) and the Missile Defense Agency (MDA) covering the development and utilization of state-of-the-art physics-based predictive models that accurately capture the functional response of RF, analog and mixed-signal radar and seeker front-end components and subsystems (transmitter and receiver) utilizing high fidelity nonlinear device characterization and microwave modeling techniques. We will deliver on a robust, experimentally-validated, predictive M&S framework for HEL engagements of RF seeker threat systems that can be leveraged by the AF for assessing the effectiveness of HEL systems against similar targets of interest.