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. 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
  2. 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
  3. 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
  4. An Embedded Health Monitoring System for Determining Readiness of Electronic Components

    SBC: NOKOMIS, INC            Topic: MDA14T001

    Nokomis ultra-sensitive radio frequency (RF) sensor, the Hiawatha System, can leverage changes in unintended emissions signatures to monitor the overall state of electronic device health. As a device ages, emissions signatures change in a predictable and deterministic manner, enabling reliable determination of device readiness. Under this effort, Nokomis proposes to leverage hand-held embedded h ...

    STTR Phase I 2015 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 (SRMs) as a function of age without affecting the motors integrity. In Phase I, a sensor to monitor specific gas species that are markers of the chemical and mechanical aging processes of composite and double base pr ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  6. Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF)

    SBC: Charles River Analytics, Inc.            Topic: MDA13T001

    In our Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF) project, we will model the entire multi-sensor fusion process as a probabilistic model and reason about the different design and algorithmic decisions that can be made by system engineers. This fusion model will use standard fusion system representations and ideas from statistical relational learning field to create flexibl ...

    STTR Phase II 2015 Department of DefenseMissile Defense Agency
  7. 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, Uncertainty Characterization Using Copulas (UC)2, that will result in a parametric framework based on the statistical theory of copulas for modeling uncertainties for the problem of object classification. (UC)2 will produce a mathematical framework, founded on rigorous theoretical analysis ...

    STTR Phase II 2015 Department of DefenseMissile Defense Agency
  8. 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
  9. 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
  10. 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
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