Award Data

Triton Systems, Inc. proposes to develop a method for efficiently running federated simulations of atmospheric and orbital rocket flight. Tritons proposed method will be able to get information between time steps without the need for interpolation and will significantly reduce the computational time needed to run Federated simulations.Approved for Public Release | 18-MDA-9522 (23 Feb 18)

The Missile Defense Agency (MDA) has multiple system platforms to defeat an Intercontinental Ballistic Missile (ICBM).The MDAs solution for defeating a midcourse threat is the Ground-Based Midcourse Interceptor (GMI).The GMI is comprised of the Orbital Boost Vehicle (OBV) and an Exoatmospheric Kill Vehicle (EKV), developed by Orbital ATK and Raytheon respectively.The OBV carries the EKV to the ICB ...

Physical Sciences Inc. (PSI) proposes to design, develop, and demonstrate a portable, non-invasive, real-time sensor to assess the chemical and physical health of solid rocket motors as a function of age without affecting the motors integrity nor having direct contact with the propellant. In Phase II, a sensor to monitor specific gas species that are markers of the chemical and mechanical aging pr ...

The MDA is in need of a robust, holistic Electronics Health Monitoring (EHM) solution that can address mission readiness concerns. Nokomis solution to this problem provides unique information to operators and maintainers and a more complete picture of component readiness. Nokomis novel methodologies for determining device health, whereby changes in unintended RF emissions signatures are leverage ...

Combining information from disparate sensors can lead to better situational awareness and improved inference performance; unfortunately, traditional multi-sensor fusion cannot capture complex dependencies among different objects in a scene, nor can it exploit context to further boost performance. Integrating context information within a fusion architecture to reason cohesively about scenes of inte ...

The proposed effort will develop a new approach to characterize and analyze multiple-sensor decision making under uncertainty. The major focus will be on the decision architecture involving multiple Ballistic Missile Defense (BMD) elements and the evaluation of the performance of various decision architectures for ballistic missile object discrimination. The proposed method will provide a well-d ...

Propose development of a human-in-control (HIC) modeling capability that can: (1) represent the breadth of operator decision-making processes across missile defense elements, (2) scale to deliver the appropriate level of fidelity, and (3) be extensible to future operator needs. To provide this HIC modeling capability, we propose to develop and evaluate a full-scope prototype of Modeling Operato ...

Boston Fusion, together with our teammate Syracuse University, propose a program of research and development, namely Uncertainty Characterization Using Copulas, which will lead to a parametric framework based on the statistical theory of copulas for modeling uncertainties in a centralized fusion architecture for the problem of target classification for ballistic missile defense applications. This ...

An ultra-high speed visible and near-infrared (VNIR) hyperspectral radiometric temperature imager will be developed in this program. The instrument is based on a high speed hyperspectral imager spanning the wavelength range 0.4-0.9 micron and providing hyperspectral data-cubes at rates of 13,500 Hz or faster. The high speed spatial imagery provides trajectory information to determine size and spe ...

Missile defense takes place in an uncertain and dynamic environment, so multi-sensor fusion must be employed to aggregate and merge disparate data from the battlefield. However, the fusion process is hindered by the vast amount of uncertainty in operational contexts, such as imprecise measurements and varying environmental conditions. Various algorithms and fusion processes have been developed to ...