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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

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.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. Sun-Tracking Millimeter Wave Radiometer

    SBC: PROSENSING INC.            Topic: AF17CT01

    This Phase I STTR proposal describes the development of a dual frequency millimeter-wave sun tracking radiometer designed to measure total atmospheric attenuation from ground level to the top of the atmosphere.The suns brightness temperature, which is on the order of 10,000K at millimeter-wavelengths, provides an ideal background reference allowing high dynamic range estimation of total atmospheri ...

    STTR Phase I 2018 Department of DefenseAir Force
  2. Rapid Discovery of Evasive Satellite Behaviors

    SBC: APPLIED DEFENSE SOLUTIONS, INC.            Topic: AF17CT02

    This is a prototype system that will take raw observation data, detect and characterize maneuvers, and use reinforcement learning to understand and react to evasive RSO behaviors in near real time. This will provide a framework to evaluate autonomous behavior strategies, such a safety, effectiveness, and robustness to manipulation. This work will enable surveillance operators to distinguish betwee ...

    STTR Phase I 2018 Department of DefenseAir Force
  3. Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite Behaviors

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF17CT02

    Space superiority requires space protection and space situational awareness (SSA), which rely on rapid and accurate space object behavioral and operational intent discovery. The focus of this project is to develop a stochastic approach for rapid discovery of evasive satellite behaviors. Designing the innovative decision support tool has numerous challenges: (i) partial observable actions; (ii) eva ...

    STTR Phase I 2018 Department of DefenseAir Force
  4. Verification and Validation of Algorithms for Resilient Complex Software Controlled Systems

    SBC: APPLIED DEFENSE SOLUTIONS, INC.            Topic: AF17CT05

    In response to the challenges described in AF173-CT05, Applied Defense Solutions (ADS) and the University of New Mexico (UNM) (equivalently, the ADS Team) propose to research and develop innovative validation and verification (V&V) algorithms for spacecraft GN&C. The ADS Team is unique in that it brings operational flight GN&C software experience (ADS) with cutting edge research on algorithm V&V ( ...

    STTR Phase I 2018 Department of DefenseAir Force
  5. Disposal of Aqueous Film-Forming Foam using Hydrodynamic Cavitation

    SBC: DYNAFLOW, INC.            Topic: AF17BT001

    The widespread use of Aqueous Film Forming Foams (AFFF) at DOD facilities for firefighting, training, and fire suppression systems has resulted in numerous contamination sites. The perfluoroalkyl (PFA) compounds used in the AFFF, such as perfluoroalkyl sulfonates (PFOS) and perfluoroalkyl carboxylic acids (PFOA) are extremely stable in the environment and have been shown to be resistant to typical ...

    STTR Phase I 2018 Department of DefenseAir Force
  6. Closed-Loop Extracranial Activation using Reinforcement-learning (CLEAR)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: AF17BT002

    Increased workloads and operational pressures can degrade human analysts cognitive performance, jeopardizing their ability to safely and effectively carry out mission-critical tasks. To avoid overload and maximize the potential of human operators, a method for conducting real-time evaluation of cognitive state, combined with means to dynamically enhance performance, is required. Novel technologies ...

    STTR Phase I 2018 Department of DefenseAir Force
  7. Detection of Radio Frequency and Magnetic Field Bioeffects in Living Cells

    SBC: OCEANIT LABORATORIES INC            Topic: AF18AT001

    Oceanit proposes to develop a system to characterize weak electromagnetic fields for the investigation of the effect of both thermal and non-thermal RF/magnetic fields on biological material, and to detect resulting biological impact of the energy deposited.

    STTR Phase I 2018 Department of DefenseAir Force
  8. Self-Calibrating, Conformal Nanomembrane based Pressure Sensors for Embedded Sensing Applications

    SBC: NANOSONIC INC.            Topic: AF18AT002

    This Air Force Phase I STTR program would develop self-calibrating, conformal nanomembrane (NM) based pressure sensors for embedded sensing applications, using SOI (Silicon on Insulator) NM techniques in combination with our pioneering nanocomposite materials.Such low-modulus, conformal nanomembrane sensor skins with integrated self-calibration, interconnect elements and electronic devices that ca ...

    STTR Phase I 2018 Department of DefenseAir Force
  9. Metasurface optics for compact and scalable polarization cameras

    SBC: Metalenz Inc.            Topic: AF18AT005

    Metasurfaces are a fascinating new direction for producing small form factor optical elements that can be directly integrated with a variety of sensors and illumination sources. Metasurfaces have received extensive attention for their potential applications in imaging optics as they enable significantly more compact camera modules with enhanced functionality and because the unit processes to creat ...

    STTR Phase I 2018 Department of DefenseAir Force
  10. High Performance Computing for DEAP Imaging through Atmospheric Turbulence

    SBC: HIGH PERFORMANCE IMAGING LLC            Topic: AF18AT006

    Previous research indicates the digital holography (DH) methods when combined with model-based iterative reconstruction can solve the challenging problems posed by the need to image through deep turbulence real time. In this Phase I STTR research, we propose to analyze and design a high-performance computing system and associated Deep-turbulence Estimator for Anisoplanatic Propogation (DEAP) algor ...

    STTR Phase I 2018 Department of DefenseAir Force
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