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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. 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
  2. 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
  3. Deep Learning with Whole-Scene Contextual Reasoning for Target Characterization

    SBC: Exoanalytic Solutions, Inc.            Topic: MDA15T001

    ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  4. Dim Target Extraction and Conjoint Tracking (DTECT) Enhancements for Missile Defense Applications

    SBC: TOYON RESEARCH CORPORATION            Topic: MDA12T004

    Overhead Persistent Infrared (OPIR) platforms observe challenging threat and scene phenomenology. Toyon Research Corporation developed an image processing framework for clutter estimation/suppression and track-before-detect to jointly detect and track targets. The Target Extraction and Conjoint Tracking application, developed under initial Phase II funding and demonstrated using real-world data so ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  5. 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
  6. 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
  7. 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
  8. 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
  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. Portable System with Li Foil MWPC Neutron Detectors

    SBC: Radiation Detection Technologies, Inc.            Topic: DTRA14B005

    At the completion of the research and development effort a Li-foil multi-wire proportional counter (MWPC) neutron detector with more than 625-cm2 of active area will be included in a portable radiation detection system. The system is expected to outperform the standards set by the ANSI N42.53 standards, and gamma-ray rejection ratio (GRR) of 1.0x10-8 or better. A gamma-ray spectrometer for isotope ...

    STTR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
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