You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

  1. 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
  2. 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
  3. 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
  4. 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
  5. Technologies for Rare Earths Enrichment of a Novel Low-Cost Raw Material

    SBC: Physical Sciences Inc.            Topic: OSD12T01

    A critical step in the extraction of elements from ore, especially rare earth elements that are found in complex minerals, is separation. Froth flotation is a highly versatile method for physically separating particles based on differences in the ability of air bubbles to selectively adhere to specific mineral surfaces in a mineral/water slurry. The particles with attached air bubbles are then ca ...

    STTR Phase II 2015 Department of DefenseOffice of the Secretary of Defense
  6. Information Salience

    SBC: DISCERNING TECHNOLOGIES, LLC            Topic: OSD11TD1

    Empirical-based mathematical framework and computer algorithms, for representing human perception and cognition processes and limitations, which influence the recognition of salient information about rapidly changing events.

    STTR Phase II 2015 Department of DefenseOffice of the Secretary of Defense
  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. Intelligent RF-IR Data Fusion using Artificial Intelligence Techniques

    SBC: Stottler Henke Associates, Inc.            Topic: MDA12T002

    The ultimate goal of this proposed effort is to better utilize disparate sensor data to perform better correlations and lethality assessments through the development of a sensor data fusion system using artificial intelligence (AI) techniques and the concept of extracting features from raw sensor data and reasoning about those features and their hypothetical association with hypothesized objects. ...

    STTR Phase II 2014 Department of DefenseMissile Defense Agency
  9. Modeling Operator Reasoning and Performance for Human-in-Control Simulation (MORPHIC)

    SBC: Charles River Analytics, Inc.            Topic: MDA12T006

    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 ...

    STTR Phase II 2014 Department of DefenseMissile Defense Agency
  10. Efficient Clutter Suppression and Nonlinear Filtering Techniques for Tracking Objects in the Presence of Debris

    SBC: TOYON RESEARCH CORPORATION            Topic: MDA12T004

    Toyon developed a Phase I framework leveraging spatiotemporal image processing algorithms for non-stationary clutter estimation, and nonlinear filtering based Track-before-Detect algorithms for tracking targets. Information is fused across sensors without loss of information due to detection thresholds. Algorithms, when applied jointly, provide a near-optimal solution. In addition, algorithms a ...

    STTR Phase II 2014 Department of DefenseMissile Defense Agency
US Flag An Official Website of the United States Government