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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. Normally-OFF AlInGaN MOSHFET for power converters

    SBC: Sensor Electronic Technology, Inc.            Topic: N09T023

    We propose to develop and commercialize novel normally-off III-Nitride insulated gate heterostructure field effect transistor (MOSHFET) for power converters. Based on our experience in high power insulated gate III-N HFET development, we strongly believe that this device is the most promising for achieving the best combination of low ON-resistance, high operating voltage and high switching frequen ...

    STTR Phase I 2009 Department of DefenseNavy
  2. Low-loss High-power Cryogenic RF Switches using III-Nitride MOSHFETs

    SBC: Sensor Electronic Technology, Inc.            Topic: N07147

    We propose to carry out research and development of highly efficient broadband cryogenic switches using voltage controlled 2D electron gas in III-Nitride heterostructure field-effect transistors (HFETs). Due to extremely high electron density in the 2D channel formed at the AlGaN/GaN interface, III-Nitride HFET - based RF switches offer low insertion loss, lower than that of pin diodes and quite c ...

    SBIR Phase II 2009 Department of DefenseNavy
  3. High Speed Scene Signal Processor

    SBC: Neural Technology, Inc.            Topic: N/A

    The proposed effort focuses upon exploring the potential of a combination of neural, wavelet, and fuzzy logic processing to yield significant performance improvements needed for future seeker scene processors. Seeker scene processors must rapidly process images to detect and classify objects such as tanks on the ground, aircraft in flight, or ships at sea. The problem of detecting and classifyin ...

    SBIR Phase I 1996 Department of DefenseNavy
  4. Passive Processing Technology

    SBC: Neural Technology, Inc.            Topic: N/A

    This project will explore the potential of neural network and wavelet algorithms to yield significant performance improvements needed for future acoustic detection and classification systems. Future systems must automatically recognize complex acoustic signatures in realistic environments. Neural and wavelet algorithms open new possibilities for designing sonar systems by offering the poten ...

    SBIR Phase I 1996 Department of DefenseNavy
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