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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

  1. Lightweight, Stable Optical Bench with Integrated Vibration Attenuation

    SBC: SAN DIEGO COMPOSITES, INC.            Topic: MDA13T007

    The goal of this program is to design a lightweight optical bench capable of remaining stable under temperature and moisture changes, while isolating the precision optical array from vibrations such as engine noise and air turbulence. By integrating a customizable periodic stack in the bench, vibrations are attenuated more effectively than commercially available mounts. Additionally, the periodic ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  2. Microelectronics Component Adhesive Selection and Design Rules for Failure Avoidance

    SBC: CFD Research Corporation            Topic: MDA14T002

    Thermally induced fatigue and residual stress introduced during fabrication are sources of failure in microelectronics, which raises reliability concerns for MDA and its system integrators. CFDRC has teamed with experts in the reliability of microelectronics packaging to develop a physics based modeling and testing protocol to correlate material properties and thermal loading conditions to stress ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  3. Infectious Disease Diagnostics and Differentiation of Viral vs. Bacterial Infections for Point of Care Applications

    SBC: GENECAPTURE            Topic: CBD15C001

    The modern warfighter faces the constant threat of endemic infections, multi-drug resistant bacteria and Biological Warfare Agents. In order to provide accurate front-line treatment that will curtail the overuse of antibiotics, a rapid and robust molecula

    STTR Phase I 2016 Department of DefenseOffice for Chemical and Biological Defense
  4. Interactive Sensor Fusion for Context-Aware Discrimination

    SBC: OPTO-KNOWLEDGE SYSTEMS, INC.            Topic: MDA15T001

    We propose a novel computational framework for discrimination that incorporates sensor data from observations of the engagement and from kill assessment (KA) that such sensors can provide. The KA information is combined with data from other sensors to improve the discrimination decision and to reduce the probability of correlated shots. Approved for Public Release 16-MDA-8620 (1 April 16)

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  5. Robust Classification through Deep Learning and Dynamic Multi-Entity Bayesian Reasoning

    SBC: ExoAnalytic Solutions, Inc.            Topic: MDA15T001

    Missile defense faces the challenges of rapidly maturing and evolving complex threats, possessing capabilities which require the use of all available resources to successfully detect, track and identify the lethal objects. Future performance will rely on multiple sensors such as ground and sea based radars and electro-optical and infrared sensors for target recognition. It is crucial to develop a ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  6. System of Systems Control Interactions

    SBC: Torch Technologies, Inc.            Topic: MDA15T002

    Control Theory tools and processes for analyzing the interactions of complex System of Systems (SoS) are lacking, specifically when sub-systems are independently designed and/or higher levels of SoS controls are applied. Integrating these sub-systems into the SoS, can result in dynamic interactions between these sub-systems and the SoS controls resulting in unexpectedly large deviations between ex ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  7. System of Systems Control Interactions

    SBC: GTD Unlimited LLC            Topic: MDA15T002

    In this research effort, GTD Unlimited will design tools for efficiently specifying, representing, and analyzing the interactions between control systems in System of Systems (SoS). Our approach will be to model the problem as an uncertain system and analyze the resulting models using control methods. Control methods can be related back to the standard Nyquist criterion for stability, ensuring t ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
  8. Decision Making under Uncertainty

    SBC: GCAS, Inc.            Topic: MDA13T001

    Our proposed second order uncertainty (SOU) product is a decision making software solution that addresses the problem of providing accurate and precisely defined decision courses of action (COAs) of complex, time-constrained problems in a fraction of the time required by alternative methods striving to achieve the same level of precision. Complex decision situations can deal with large volume of ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
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