CORVID TECHNOLOGIES, LLC — Department of Defense SBIR Phase I: AF151-108

Description

ABSTRACT:Abstract: The objective of this effort is developing algorithms using sensor track data to detect, track, and classify TBM targets and predict TBM trajectory during boost phase. These algorithms will support engagement prioritization and optimize intercept probability for an airborne weapon layer of missile defense. Corvid proposes a multi-mode sensor suite of RF and IR sensors on the host airborne platform for an accurate airborne defense capability. Corvids innovation for this topic is the use of high fidelity radar sensor modeling capabilities to develop and test radar algorithms for various components of an airborne missile defense layer. The use of synthetic radar data will allow us to build a robust airborne weapon system against a variety of scenarios and ballistic missile threat classes. In Phase I we will demonstrate the ability to detect, track, and classify the threat, and lay the framework for a full sensor architecture for further refinement in Phase II.BENEFIT:This effort will produce a capability to supply algorithms within an HWIL environment for the Air Force and MDA. Potential customers include primes (Raytheon, LM) and the proposed work is synergetic with work being done at FFRDC laboratories (MIT/LL, JHU/APL) Methodologies developed under this effort have the potential to support the improvement of other sensor networks across MDA including satellites and flare tracking.