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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. A Range Segment Upgrade for Air Force Satellite Control Network with Smart Antennas and Cognitive Satellite Radios

    SBC: INFOBEYOND TECHNOLOGY LLC            Topic: AF14AT16

    ABSTRACT: A range segment upgrade for Air Force satellite control network (AFSCN) will significantly improve system effectiveness via spectrum sharing and seamless interoperation. However, the upgraded system requires new capabilities such as real-time and accurate RF interference detection and mitigation, array antenna backlobe/sidelobe suppressions, accurate performance degradation prediction, ...

    STTR Phase I 2015 Department of DefenseAir Force
  2. GUARD: A Game-theoretic Universal Anti-RFI Defense framework for Satellite Communication

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF14AT17

    ABSTRACT: In this proposal a Game-theoretic Universal Anti-RFI Defense (GUARD) framework for Satellite Communications is proposed. Key components of the GUARD framework include i) Radio Frequency Interferences (RFI) modeling and impact evaluation infrastructure, which allows the evaluation of the impact of RFI from various sources, and provides a comprehensive RFI knowledge base to SATCOM; ii) RF ...

    STTR Phase I 2015 Department of DefenseAir Force
  3. Phase Transitions, Nucleation and Mixing Modeling through Trans-Critical Conditions

    SBC: CASCADE TECHNOLOGIES INC            Topic: AF14AT23

    ABSTRACT: In this proposal, researchers from Cascade Technologies and Professors Matthias Ihme and Ali Mani from Stanford University lay out a plan to develop predictive modeling tools for transcritical flows. Phase I of the three phase plan is outlined in detail and extensions are proposed for Phases II and III. Central points of the Phase I plan include: A comprehensive review and assessment ...

    STTR Phase I 2015 Department of DefenseAir Force
  4. Low-Latency Embedded Vision Processor (LLEVS)

    SBC: SA PHOTONICS, LLC            Topic: AF15AT13

    ABSTRACT: Digital binocular helmet-mounted display (HMD) systems are now available that allow high resolution wide field-of-view (WFOV) digital imagery to be displayed on high resolution microdisplays. These digital HMD systems require a low-latency embedded vision processor (LLEVS) capable of implementing the necessary image processing algorithms. An SA Photonics LLEVS will be implemented on next ...

    STTR Phase I 2015 Department of DefenseAir Force
  5. Object Cueing Using Biomimetic Approaches to Visual Information Processing

    SBC: MAYACHITRA, INC.            Topic: N14AT008

    Thousands of years of evolution have produced the human vision system that computers cannot replicate well. Humans are still unsurpassed in their ability to search for objects in visual scenes. To successfully detect objects in cluttered scenes, the human brain is thought to rely on multiple factors: prior probabilities of object occurrence, global scene statistics and object co-occurrence. Machin ...

    STTR Phase II 2015 Department of DefenseNavy
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