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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. Silicon Receiver for Millimeter Wave Distributed Aperture Imager with Optical Upconversion

    SBC: PHASE SENSITIVE INNOVATIONS INC            Topic: SB113003

    In this Phase II SBIR effort we will dramatically reduce the size, weight, and power requirements of a passive millimeter wave imaging system based on optical upconversion. To this end, we will integrate custom silicon-germanium low noise amplifiers that have been designed to efficiently couple with our high performance lithium niobate upconversion modules. In Phase I we analyzed the design requ ...

    SBIR Phase II 2012 Department of DefenseDefense Advanced Research Projects Agency
  2. Silicon Receiver for Millimeter Wave Distributed Aperture Imager with Optical Upconversion

    SBC: PHASE SENSITIVE INNOVATIONS INC            Topic: SB113003

    In this SBIR effort we will design (Phase I) and demonstrate (Phase II) an integrated silicon electronic-photonic upconversion receiver that when used with our photonic backend will allow for a highly sensitive, real-time, and economical millimeter wave (mmW) imaging system. The development of this chip leverages recent progress in CMOS and SiGe HBT high speed analog circuit design and integrates ...

    SBIR Phase I 2012 Department of DefenseDefense Advanced Research Projects Agency
  3. Foliage Propagation Model Development to Support New Communications Concepts

    SBC: MAV6            Topic: SB122007

    The Foliage Abstraction RF Multiscale Estimation Rendering (FARMER) framework will perform high fidelity simulations of heavy foliage environments using a novel multiscale approach, dramatically extending the capabilities of existing foliage modeling tools and integrating existing computational electromagnetics (CEM) solutions. FARMER will use domain decomposition and an innovative scattering dis ...

    SBIR Phase I 2012 Department of DefenseDefense Advanced Research Projects Agency
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