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Award Data

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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. High Power, Modulation Doped AlGaN/GaN FETs on Melt Grown, Zinc Oxide Bulk Substrates

    SBC: CERMET, INC.            Topic: N/A

    N/A

    STTR Phase I 1999 Department of DefenseMissile Defense Agency
  2. N/A

    SBC: Electron Power Systems, Inc.            Topic: N/A

    N/A

    STTR Phase I 1999 Department of DefenseMissile Defense Agency
  3. N/A

    SBC: Electron Power Systems, Inc.            Topic: N/A

    N/A

    STTR Phase II 1999 Department of DefenseMissile Defense Agency
  4. Novel AlGaN/GaN Heterojunction Bipolar Transistor with Enhanced p-type Doped Base

    SBC: NZ APPLIED TECHNOLOGIES CORP.            Topic: N/A

    N/A

    STTR Phase I 1999 Department of DefenseMissile Defense Agency
  5. Radiation Hard, Nonvalatile Magnetic RAM Using Novel Magnetic Tunneling-Junction Device on Silicon Semiconductor

    SBC: Spinix Corporation            Topic: N/A

    N/A

    STTR Phase I 1999 Department of DefenseMissile Defense Agency
  6. Modeling of Lithium-Ion Cell Performance

    SBC: GLOBAL TECHNOLOGY CONNECTION, INC.            Topic: MDA10T004

    Global Technology Connection, Inc., in collaboration with academic partners, Georgia Tech"s Center for Innovative Battery and Fuel Cell Technologies, Penn State University, and industrial partner Eagle Picher propose to create a physics-based modeling for predicting the life performance of Low and Middle Earth Orbit (LEO/MEO) Lithium-ion cells. The relationships between solid-electrolyte interpha ...

    STTR Phase I 2011 Department of DefenseMissile Defense Agency
  7. High-Speed Three-Channel Photonic Time Delay Unit

    SBC: AGILTRON, INC.            Topic: MDA08T012

    An innovative, super-miniature, fast-switching array-based photonic time delay device is being developed for the active electronically scanned-array (AESA) MDA and Navy radars. The design is based on the fast electro-optic effect, the super miniature fiber-lens collimation array, and the existing WDM photonic true time delay technologies. In Phase I Agiltron has successfully demonstrated the core ...

    STTR Phase II 2011 Department of DefenseMissile Defense Agency
  8. Fusion of IR and Radar for Enhanced Threat Recognition and Interception (FIRE-TRAIN)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: MDA12T001

    The proliferation of sophisticated ballistic missile systems threatens the ability of the U.S. to project military power and defend its deployed forces, its allies, and possibly even the homeland. Adversaries continue to improve their ballistic missile technologies, and are expected to incorporate multiple warheads, countermeasures, and decoys. The AEGIS systemthe sea-based component of the U.S. b ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  9. Feature-Aided RF/IR Track Correlation

    SBC: PHYSICAL SCIENCES INC.            Topic: MDA12T001

    Missile tracking sensors such as radar and EO/IR are often called upon to track constellations of multiple closely spaced objects, and recognize pairs of matching tracks from each sensor"s view. The outcome of this track correlation process is crucial for missile defense interceptors, as any failure to identify matches with certainty, for example because of an excessive number of tracks associate ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  10. IR/RF SPARK- IR/RF fusion using Stochastic Programming And Robust Kinematic features

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: MDA12T002

    SSCI and MIT team will approach a problem of fusing target data from sensor of different phenomenology using Probabilistic programming technology, Stochastic inference techniques based on Markov chain simulation, and Robust kinematic features. These methods will allow us to estimate the extend of information on metric, material, and kinematic properties of the observed low resolution targets av ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
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