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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. Highly-mobile Autonomous Rapidly Relocatable Integrated Electro-optical Resources (HARRIER)

    SBC: EXOANALYTIC SOLUTIONS INC            Topic: AF16AT05

    ExoAnalytic Solutions, teamed with Texas A&M University and Georgia Institute of Technology, will develop Highly-mobile Autonomous Rapidly Relocatable Integrated Electro-optical Resources (HARRIER) with the goal being to design and demonstrate tracking of resident space objects (RSOs) in near-geosynchronous orbit (GEO) using a rapidly-constructed low-cost ground based electro-optic (EO) sensor wit ...

    STTR Phase II 2017 Department of DefenseAir Force
  2. High Performance and Novel Target Recognition Algorithm in the Sparse Measurement Space

    SBC: Applied Research LLC            Topic: AF15AT27

    This Phase II project focuses on the development of a compact, light-weight, low cost, low power, high resolution, high frame rate, low motion blur, and high dynamic range (HDR) imager for target recognition. We have both innovative hardware and software algorithms. In the hardware, we propose an advanced compressive sensing CMOS imager that has several key features. First, the imager has pixel-wi ...

    STTR Phase II 2017 Department of DefenseAir Force
  3. High-Sensitivity Monolithic Silicon CMOS APD and ROIC

    SBC: FREEDOM PHOTONICS LLC            Topic: AF14AT13

    This work will focus on the development of monolithic SWIR focal plane array technologies using CMOS or CMOS compatible fabrication technology. This will be realized on a Silicon substrate and incorporate APD+TIA arrays and be scalable to Megapixel arrays and coherent receiver operation for capture of the full optical wavefront vector information.

    STTR Phase II 2016 Department of DefenseAir Force
  4. Impact of Hypersonic Flight Environment on Electro-Optic/Infrared (EO/IR) Sensors

    SBC: Analysis and Applications Associates, Inc.            Topic: AF15AT40

    EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the visible to mid-wave IR. EO/IR sensors have been very successful for terrain imaging from subsonic aircraft and from satellites. Imaging using these platforms has been studied extensively. EO/IR sensors can provide high spatial resolution images using multiple frequency bands ranging from the v ...

    STTR Phase II 2016 Department of DefenseAir Force
  5. Innovative Physics-based Modeling Tool for Application to pRFID System on Rotorcraft

    SBC: MATHEMATICAL SYSTEMS & SOLUTIONS, INC.            Topic: N15AT005

    We propose development of a software capability which, based on use of accurate and efficient exact-physics computational electromagnetics (CEM) solvers together with CAD-import (Computer Aided Design) and direct CAD-to-EM capabilities, will enable optimization of the properties of on-platform pRFID tag/reader antenna systems. For accuracy and modeling flexibility the proposed codes are based on M ...

    STTR Phase II 2017 Department of DefenseNavy
  6. In Situ Inspection of Additive Manufactured Metallic Parts Using Laser Ultrasonics

    SBC: INTELLIGENT OPTICAL SYSTEMS, INC.            Topic: N15AT008

    Additive manufacturing (AM) is a very promising technique for rapid, low-cost production of aircraft parts directly from a CAD file. AM is especially appealing for complex parts that would be costly or impossible to fabricate by machining or casting. At the current time there are no reliable, cost-effective techniques to qualify the finished parts. Several government studies have noted this gap an ...

    STTR Phase II 2016 Department of DefenseNavy
  7. Integrated Fiber-Optic Sensor Reliability Modeling and Analysis Tools for Thermal and Power Management Systems for Gas Turbine Engines

    SBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP            Topic: AF16AT16

    Addressing a key technology gap in deployment of fiber-optic sensor networks, IFOS and multidisciplinary collaborators are developing an integrated fiber-optic component reliability modeling software toolkit. The RelOptics toolkits analytical engine is based upon predictive failure models developed for the first time in aerospace industry via rigorous environmental testing of optical fiber splices ...

    STTR Phase II 2017 Department of DefenseAir Force
  8. Intelligent and Multiplexable Ultra-High Temperature Fiber Optic Pressure Sensors for Robust Distributed Engine Control

    SBC: INTELLIGENT FIBER OPTIC SYSTEMS CORP            Topic: AF16AT18

    Engines will be getting smaller and hotter for efficiency reasons, requiring novel sensors with extended and enhanced performance. Emerging fiber-optic sensing approaches could provide a unique solution to the widening technology gap between next-gen engine requirements and conventional sensors limited capabilities. The overall objective of this program is to develop techniques to integrate new pr ...

    STTR Phase II 2017 Department of DefenseAir Force
  9. Intelligent Terrain-Aware Navigation and Mobility of Unmanned Ground Vehicles Operating Under Varying Degrees of Autonomy

    SBC: ROBOTIC RESEARCH OPCO LLC            Topic: A14AT018

    Robotic Research, LLC in partnership with Tulga Ersal at the University of Michigan have joined forces under Army STTR topic A14A-T018 Intelligent Terrain-Award Navigation and Mobility of Unmanned Ground Vehicles Operating Under Varying Degrees of Autonomy to develop a remote teleoperation* system for driving unmanned vehicles off-road and at high speed. This system shall remain effective in the p ...

    STTR Phase II 2017 Department of DefenseArmy
  10. LCS Radar Modeling for Training (LRMT)

    SBC: Intelligent Automation, Inc.            Topic: N14AT012

    We propose the design and development of LCS radar modeling for training a radar modeling engine that capture the effects of environment, weather, jamming/interference and operator actions on radar display. The purpose of this engine is to reduce or eliminate the need for live training by faithfully capturing the scenarios encountered by a radar operator. The primary target radars for the propose ...

    STTR Phase II 2016 Department of DefenseNavy
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