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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. Advanced Infrared (IR) Sensor Components for Missile Defense

    SBC: MILLENNIUM ENGINEERING AND INTEGRATION CO.            Topic: MDA06T011

    Millennium Engineering and Integration Company and Oak Ridge National Laboratory have teamed to propose development of an entirely new type of infrared detector that has the potential for providing significantly higher Long Wave Infrared (LWIR) detectivity for detector temperatures in the 180-300K temperature range than is presently available. This new detector exploits means of enhancing field em ...

    STTR Phase I 2006 Department of DefenseMissile Defense Agency
  2. Advanced Optical System Technologies

    SBC: Schafer Corporation            Topic: MDA04T007

    Detection of missiles during the boost phase requires a sensor located on a high altitude forward deployed platform or on a spacecraft. Unlike a spacecraft, a forward deployed high altitude airship (HAA) or an unmanned aerial vehicle (UAV) is relatively mobile and can be quickly deployed to areas of concern. For a single sensor to fit on a HAA or UAV, it must be compact, low-mass, and energy effic ...

    STTR Phase I 2004 Department of DefenseMissile Defense Agency
  3. Advanced Passive and Active Sensors for Discrimination Seekers

    SBC: NU-TREK, INC.            Topic: MDA08T004

    Raytheon Vision Systems (RVS) is developing a next generation, high-performance large-format HgCdTe FPAs for dual-band LWIR detection for the MKV Program. Increasing the format size of dual-band long-wavelength FPAs and tailoring the detector design for specific long-wavelength bands enables seekers to be designed for larger fields-of-view, longer target acquisition ranges, and improved accuracy ...

    STTR Phase I 2009 Department of DefenseMissile Defense Agency
  4. Advanced Passive and Active Sensors for Discrimination Seekers

    SBC: SA PHOTONICS, LLC            Topic: MDA07T003

    Effective future ballistic missile defense systems will be forced to discriminate between targets and decoys. To meet this requirement, ballistic missile interceptors must contain sensors which have imaging capability. SA Photonics is proposing a program to develop a pumped laser optical source for LIDAR-RADAR imaging applications specifically targeted for ballistic missile applications. The SA ...

    STTR Phase I 2007 Department of DefenseMissile Defense Agency
  5. Advanced Radar Data Fusion

    SBC: Technology Service Corporation            Topic: MDA06T003

    The TSC team proposes to develop a new generalized Space-Time Adaptive Processing (Generalized STAP) algorithm that discriminates among classes of scatterers. The new generalized formalism is applied to the problem of 3D ISAR imaging of the reentry vehicle (RV) or another object in the ballistic missile threat complex that suppresses radar dipole clutter, using multiple ground-based radars operat ...

    STTR Phase I 2006 Department of DefenseMissile Defense Agency
  6. Advanced Sensor Data Fusion

    SBC: Frontier Technology Inc.            Topic: MDA07T004

    Frontier Technology, Inc. (FTI) and its research partner, University of Florida (UF), propose to develop designs for innovative discrimination algorithms for fusion of sensor (feature) and contextual information, to provide enhanced acquisition, tracking, and discrimination of threat objects in a cluttered multi-target environment. We propose to analyze the performance of the envisioned technology ...

    STTR Phase I 2007 Department of DefenseMissile Defense Agency
  7. Advanced Sensor Data Fusion

    SBC: Technology Service Corporation            Topic: MDA07T004

    Technology Service Corporation (TSC) and the University of Connecticut (UCONN) will develop a birth-to-death tracking concept that utilizes rotational information to improve track handover between: 1) forward-based radars, 2) mid-course ballistic missile defense tracking radars, and 3) the IR sensor on the kill vehicle. The proliferation of anti-simulation countermeasures has necessitated a multi ...

    STTR Phase I 2007 Department of DefenseMissile Defense Agency
  8. Advance Failure Warning via Data Driven Stochastic Models

    SBC: BARRON ASSOCIATES, INC.            Topic: N/A

    The ideal prognostic system would be generic, requiring no domain-specific knowledge for its application. The prognostic system must also perform across all operating regimes without generating an excessive number of false alarms, and must successfullydiagnose problems. The semi-empirical technique proposed herein by Barron Associates, Inc. and its academic partners at Princeton University takes a ...

    STTR Phase I 2003 Department of DefenseMissile Defense Agency
  9. A Framework for Efficient Paratemporal Simulation

    SBC: TRITON SYSTEMS, INC.            Topic: MDA22T001

    Running and testing highly complex models and simulations has historically been a very computationally intensive and extremely inefficient process, since full simulations are run from start to finish for each realization of a set of stochastic variables until a full distribution of simulation outcomes has been established. Recently, the concept of cloning has been used to speed up stochastic simul ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  10. AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

    SBC: KRTKL INC.            Topic: SOCOM23B001

    krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
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