Award Data

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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until June, 2020.

  1. Advanced Chemistry and Radiation Modules for Hypersonic Signatures

    SBC: Spectral Sciences, Inc.            Topic: MDA15T003

    Karagozian & Case, Inc. (K&C) and the Georgia Institute of Technology (Georgia Tech) will develop a re-usable, cost-effective, and accurate dynamic characterization methodology capable of measuring the dynamic material properties of various materials of interest under very high strain rates. Materials property data for various ductile materials (e.g., steel and aluminum) are required as input to f ...

    STTR Phase I 2017 Department of DefenseMissile Defense Agency
  2. Methodologies for Cost-Effective Measurement of Dynamic Material Properties or Characterization of Materials under Dynamic Loads

    SBC: Bodkin Design & Engineering, LLC            Topic: MDA16T003

    We propose a new test device to replace light gas guns to study impact physics. Approved for Public Release | 17-MDA-9219 (31 May 17)

    STTR Phase I 2017 Department of DefenseMissile Defense Agency
  3. Green Monopropellant Thruster Technology Maturation

    SBC: Busek Co., Inc.            Topic: AF151066

    Busek, with its Small Business Technology Transfer partner Sandia National Laboratory (SNL), proposes to undertake the development of a AF-M315E green monopropellant thruster for a potential flight application. Busek will be designing, fabricating, and qualifying the thruster to Technology Readiness Level (TRL) 5 status. SNL will be performing additional qualification tests for Busek and perfor ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  4. Deep Inference and Fusion Framework Utilizing Supporting Evidence (DIFFUSE)

    SBC: Boston Fusion Corp.            Topic: MDA15T001

    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 ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  5. Real-Time Health Management Portable Sensor for Solid Rocket Motors

    SBC: Physical Sciences Inc.            Topic: MDA14T004

    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 ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  6. An Embedded Health Monitoring System for Determining Readiness of Electronic Components

    SBC: NOKOMIS, INC            Topic: MDA14T001

    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 ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  7. Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF)

    SBC: Charles River Analytics, Inc.            Topic: MDA13T001

    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 ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
  8. Uncertainty Characterization Using Copulas (UC)2

    SBC: Boston Fusion Corp.            Topic: MDA13T001

    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 ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
  9. Decision Making Under Uncertainty

    SBC: SYSTEMS & TECHNOLOGY RESEARCH LLC            Topic: MDA13T001

    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 ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
  10. Micro-Particle Debris Characterization from Hyper-Velocity Impacts

    SBC: Bodkin Design & Engineering, LLC            Topic: MDA13T002

    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 ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
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