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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. 3D imaging for tracking and aim-point maintenance in the presence of target-pose changes

    SBC: TAU TECHNOLOGIES LLC            Topic: AF19AT005

    We propose a three-dimensional imaging approach based on digital holography. Our approach is based on frequency diversity using a single chirped pulse instead of a train of pulses with different frequencies. Our approach promises to mitigate most of the issues limiting the performance of current methods and offer additional enabling capabilities that will improve target identification and tracking ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. 3-D Tracking and Aimpoint Maintenance (3-D TrAM)

    SBC: MZA ASSOCIATES CORPORATION            Topic: AF19AT005

    Target tracking and aimpoint maintenance are critical functions within a laser directed energy system. Traditionally, the optical sensor is a conventional camera viewing an actively illuminated target. In the absence of turbulence, it is still difficult to point the laser weapon to a specific hit spot when there are no features in the required direction. Further, atmospheric turbulence scintillate ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Vibration imaging for the characterization of extended, non-cooperative targets

    SBC: TAU TECHNOLOGIES LLC            Topic: AF19AT006

    Tau Technologies is teaming with Dr. David Voelz and his research group at New Mexico State University (NMSU) to propose “Vibration Imaging for the characterization of extended non-cooperative targets�, which employs dual-pulses in two different variations for vibration imaging in order to characterize non-cooperative targets at extended standoffs. One method is based on double-pulse ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Vibration imaging for the characterization of extended, non-cooperative targets

    SBC: Guidestar Optical Systems, Inc.            Topic: AF19AT006

    Locating objects that vibrate is a way to discern potential threats and locate targets. However, current vibrometry technology typically measures only the global vibration of target and cannot create an extended spatial measurement of the vibration profile of the target. These solutions cannot identify what the target is, nor can they locate potential weak spots on the target, because they lack sp ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Synthetic Scene Generation for Wide Application including High Performance Computing Environments

    SBC: TAU TECHNOLOGIES LLC            Topic: AF19AT007

    Efficient design, build, and test of an HEL system leverages modeling and simulation (M&S) to reduce cost and increase robustness. Designers use models to explore parameter variations and to estimate performance in conditions which cannot be tested due to physical or financial constraints. This provides significant savings in cost and time. Because live testing is so expensive, it is best used as ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Synthetic Scene Generation for Wide Application including High Performance Computing Environments

    SBC: STELLAR SCIENCE LTD. CO.            Topic: AF19AT007

    We will deliver a new software architecture for scene generation named the Realistic Image and Neighborhood Generator (RING). Instead of being tied to a single tool, RING will provide interfaces suitable for a wide variety of image and scene rendering tools to run and interact with other codes. As an initial implementation of the interfaces, we will incorporate Stellar Science’s powerful, f ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. Optimization of Sodium Guide Star Return using Polarization and/or Modulation Control

    SBC: ROCHESTER SCIENTIFIC LLC            Topic: AF19AT008

    Large ground-based telescopes require adaptive optics (AO) to correct for distortions introduced by atmospheric turbulence. In order to function, the AO system must track a bright point source. Although a natural star may be used, full sky coverage requires an artificial beacon created with a laser. The most common type of laser guide star (LGS) employs the mesospheric layer of sodium atoms at an ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Virtual Reality for Multi-INT Deep Learning (VR-MDL)

    SBC: INFORMATION SYSTEMS LABORATORIES INC            Topic: AF19AT010

    Recent advances and successes of deep learning neural networks (DLNN) techniques and architectures have been well publicized over the last several years. Voluminous, high-quality and annotated training data, or trial and error in a realistic environment, is required to achieve the promised performance potential of DLNNs. Unfortunately for DoD and/or Intelligence Community (IC) applications of mult ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. Mid-Infrared Laser Absorption Spectroscopy for Multi-Parameter Rotating Detonation Analysis

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: AF19AT011

    New, innovative laser spectroscopy technology will be developed for performance quantification and combustion characterization in a Rotational Detonation Rocket Engine (RDRE). The effort will push the state of the art in tunable laser absorption spectroscopy to enable fast time response diagnostics of the extreme pressure and temperature conditions of an RDRE.

    STTR Phase I 2019 Department of DefenseAir Force
  10. Embedded Device Isolation for Trusted High-Assurance (EDITH)

    SBC: RAM LABORATORIES            Topic: AF19AT013

    Current techniques for supporting Multi-Level Security (MLS) on embedded devices rely on maintaining secure connections back to centralized servers or dedicated computers for managing authentication and access controls. To provide the embedded devices with the capability to handle content of differing security levels directly on device, the operating system (OS) must properly and securely isolate ...

    STTR Phase I 2019 Department of DefenseAir Force
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