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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. Autonomous Operation of UAVs from USVs

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N05055

    Accurate Automation Corporation (AAC) will address the integral operation of a USV with multiple UAVs. Such a system leverages the advantages of both platforms while compensating for the limitations of each. The USV provides range and endurance, deploying the UAVs across a long distance or after long periods on station. The USV also provides sensor coverage of the underwater environment, of whi ...

    SBIR Phase I 2005 Department of DefenseNavy
  2. Distributed System for Field Detection of Stray Energy from Laser Weapons

    SBC: ADVANCED FUEL RESEARCH, INC.            Topic: AF05313

    A number of high-energy laser weapons currently under development by and for the U.S. military will provide our armed forces with capabilities that are unmatched by conventional armaments. Laser weapons allow targets to be destroyed from remote locations without the delays associated with the transit of typical missiles and artillery shells. However, during engagement the laser radiation reflect ...

    SBIR Phase I 2005 Department of DefenseAir Force
  3. Propulsion System Performance and Health Monitor

    SBC: ADVANCED FUEL RESEARCH, INC.            Topic: AF05192

    The innovation proposed is a flight-worthy optical sensor that will monitor propulsion system performance and health characteristics, including identifying the onset of combustion instability, in air-breathing engines such as turbojets and ramjets. It is an innovation for three reasons: 1) the sensing is performed in the hot exhaust flow at the back of the engine instead of at the flame-front in t ...

    SBIR Phase I 2005 Department of DefenseAir Force
  4. Wave Energy Harvesting to Power Unmanned Surface Vehicles

    SBC: Advanced Mechanical Technology, Inc.            Topic: N05T021

    Recent world events have highlighted the need for timely and accurate intelligence data to assess threats and combat terror. An unmanned surface vehicle (USV ) can potentially perform intelligence, surveillance and reconnaissance (ISR) missions, provide force protection, hunt for mines in coastal waters or harbors, and provide port security. USVs under development by the Navy are powered by the ...

    STTR Phase I 2005 Department of DefenseNavy
  5. Field-Expedient Combat Load Assessment Device (CLAD)

    SBC: Advanced Mechanical Technology, Inc.            Topic: A05176

    Field combat load assessment for combat training and combat mission personnel load management is an identified military need. The combat load assessment device or CLAD must meet several requirements not found in off-the-shelf commercial or consumer weighing devices. Weight requirements, accuracy requirements, functional requirements, and cost requirements prohibit the use of currently OTS hardwa ...

    SBIR Phase I 2005 Department of DefenseArmy
  6. Novel Structural Joining Concepts Using 3-D Textile Preforms and Composites

    SBC: 3TEX, Inc.            Topic: AF05248

    Strength and durability of commonly used bonded and bolted composite-to-composite and composite-to-metal structural joints suffer from sharp geometry variations, mismatch of elastic moduli, Poisson's ratios, coefficients of thermal expansion and thermal conductivity of the adherends, altogether causing high stress concentration and premature joint failure. The proposed work introduces several nove ...

    SBIR Phase I 2005 Department of DefenseAir Force
  7. An Accurate, Efficient Atmospheric Radiative Transfer Algorithm for TAWS

    SBC: ATMOSPHERIC & ENVIRONMENTAL RESEARCH, INC.            Topic: A05053

    A core process for sensor performance prediction is the radiative transport algorithm used to convert the scene environmental characteristics into radiance. Numeric approximations are often used to enhance execution time at the expense of overall radiometric accuracy. However, many radiative transfer approximations have limited applicability, working only for a set of atmospheric conditions, sen ...

    SBIR Phase I 2005 Department of DefenseArmy
  8. Simulation of Stressing Optical Clutter for Scene Generation

    SBC: ATMOSPHERIC & ENVIRONMENTAL RESEARCH, INC.            Topic: MDA04154

    This effort will characterize the spatial structure and real world features of stressing atmospheric phenomena and develop techniques to efficiently represent these phenomena in optical/infrared background models. Our approach to this problem involves locating and identifying stressing backgrounds contained in measurements and extracting key clutter characteristics in a form that allows t ...

    SBIR Phase I 2005 Department of DefenseMissile Defense Agency
  9. Characterization of mesoscale weather prediction errors for dispersion modeling

    SBC: ATMOSPHERIC & ENVIRONMENTAL RESEARCH, INC.            Topic: DTRA04003

    DTRA uses high-resolution mesoscale forecasts to drive HPAC, the DTRA dispersion modeling tool that generates critical forecasts of dosage resulting from releases of chemical, biological, or radiological agents. HPAC is designed to provide probablistic information based on estimates of the uncertainty of the input forecast fields of the meteorological variables (wind, temperature, etc.). ...

    SBIR Phase I 2005 Department of DefenseDefense Threat Reduction Agency
  10. Nowcasting/Forecasting the Battlespace Environment

    SBC: ATMOSPHERIC & ENVIRONMENTAL RESEARCH, INC.            Topic: AF05037

    This effort will characterize the real world features and spatial structure of stressing atmospheric phenomena and demonstrate the feasibility of forecasting such phenomena using data-driven infrared background models. Our approach to this problem involves locating and identifying stressing backgrounds contained in measurements and extracting key structure characteristics in a form that allows th ...

    SBIR Phase I 2005 Department of DefenseAir Force
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