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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. Narrowband Perfect Absorber for Infrared Sensing

    SBC: SRICO INC            Topic: A12aT023

    SRICO proposes to combine metamaterial narrowband absorbers and SRICO-proprietary thin film lithium tantalate (TFLT) pyroelectric thermal detectors to produce ultra low cost, size, weight and power (SWaP) room temperature stand-off chemical sensors. Metamaterial narrowband absorber elements will be integrated into the TFLT pyroelectric detector process to provide conversion of radiation to heat, w ...

    STTR Phase I 2013 Department of DefenseArmy
  2. Innovative Polishing Technology for Fabrication of High Performance Epi-ready GaSb Substrates

    SBC: Sinmat Inc            Topic: MDA12T003

    Antimony containing III-V semiconducting compounds are particularly attractive for the fabrication of a wide variety of electronic and optoelectronic devices such as photo detectors operating in the long wave infrared wavelength (12-32µm) range. The production of epi quality GaSb wafers still remains one of the important problems for rapid commercialization of GaSb devices. Sinmat Inc. proposes a ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  3. RF-IR Data Fusion

    SBC: DECIBEL RESEARCH, INC.            Topic: MDA12T002

    The development and integration of three unique and innovative algorithm prototypes into a"Fused Track and Characterization Schema"are proposed. This Schema will encompass the determination of signatures and characteristics of objects that can be identified by RF and EO/IR Sensors in order to enable multi-sensor data fusion and correlation. The first algorithm, the"3D Pose Estimation"Algorithm, p ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  4. M&S Uncertainty Quantification

    SBC: OPTIMIZATION TECHNOLOGIES, INC.            Topic: MDA12T007

    OptTek Systems, Inc (OptTek), proposes an affordable, effective UQ capability for both legacy and new BMDS M & S. The OptTek Team includes research institution partner Oak Ridge National Laboratory (ORNL) and subcontractor RTSync Corporation (RTSync). The proposed BMDS M & S UQ capability maximizes insertability into existing and future MDA BMDS M & S-supported Event processes, analysis methods, a ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  5. M&S Uncertainty Quantification

    SBC: NUMERICA CORPORATION            Topic: MDA12T007

    A goal of Uncertainty Quantification (UQ) is to use computer simulation of complex systems to make scientifically informed assessments for high-consequence decisions. Because end-to-end empirical data is difficult to obtain for the Ballistic Missile Defense System (BMDS), computer simulation provides the best method for understanding BMDS capabilities against a wide range of threats. Numerica Co ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  6. Naturalistic Neurocognitive Assessment Using Mobile Gaming Platforms

    SBC: Vista Partners LLC            Topic: A12aT029

    The neurocognitive health of U.S. service members plays a vital role in the defense of the United States. It is critical to a service member"s effectiveness, to force readiness, and it is a key component of a service member"s successful reintegration into family life and society following deployment. Increased rates of mild traumatic brain injury (mTBI) and psychological health problems experien ...

    STTR Phase I 2013 Department of DefenseArmy
  7. A High Performance and Cost Effective Ultra High Performance Concrete

    SBC: i2C Solutions, LLC            Topic: AF12BT04

    ABSTRACT: Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage o ...

    STTR Phase I 2013 Department of DefenseAir Force
  8. Suppression of Wind Turbine Clutter from Radar Data

    SBC: MATRIX RESEARCH INC            Topic: AF12BT05

    ABSTRACT: It is well known that wind turbine clutter (WTC) presents a significant challenge to detecting targets in civilian and military applications. The large radar cross section (RCS) of wind turbines, combined with their significant range of Doppler spread, make traditional clutter mitigation techniques effectively useless. The objective of this Phase I effort is to develop a physically con ...

    STTR Phase I 2013 Department of DefenseAir Force
  9. Exploitable Physics for Recognition and Classification

    SBC: MATRIX RESEARCH INC            Topic: AF12BT06

    ABSTRACT: The objective of this effort is to develop innovative methods for deriving a sparse set of physical target features that can be used for exploitation of air to ground signature data collected from sensor systems including electro-optical, infrared, and laser radar. Current classification methods require near exact replication of the original imaging parameters, or extensive modeling in ...

    STTR Phase I 2013 Department of DefenseAir Force
  10. Innovations in Physical Modeling and Statistical Exploitation of Electromagnetic Target Signatures

    SBC: Five Focal LLC            Topic: AF12BT06

    ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...

    STTR Phase I 2013 Department of DefenseAir Force
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