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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. EOIR Debris Management during ascent phase for C2BMC

    SBC: APPLIED MATHEMATICS, INC.            Topic: MDA12T004

    We propose to develop algorithms to improve debris management for electro-optical/infrared sensors (EO/IR) within C2BMC. Our goal is to improve fire control solutions, increase the quality of communicated sensor information, and reduce communication demands. We characterize the pre-intercept debris field mathematically by expressing the debris fields viewed on the sensor"s focal plane as 2D elli ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  2. EOIR Debris Management during ascent phase for C2BMC

    SBC: SCITEC INC            Topic: MDA12T004

    SciTec, Inc., in collaboration with the University of Michigan (U. Mich.), proposes to develop advanced processing and exploitation algorithms and methods in order to improve the ability of the Missile Defense Agency"s (MDA"s) Command, Control, Battle Management and Communications (C2BMC) to characterize and transmit information about complex, cluttered scenes of operational relevance. The metho ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  3. Efficient Clutter Suppression and Nonlinear Filtering Techniques for Tracking Dim Closely Spaced Objects in the Presence of Debris

    SBC: TOYON RESEARCH CORPORATION            Topic: MDA12T004

    EO/IR elements of the Ballistic Missile Defense System (BMDS) responsible for detecting and tracking ballistic missile threats encounter extraordinarily challenging threat and scene phenomenology. Specifically, non-stationary clutter characteristic of airborne and satellite-based sensor systems, along with dim target signatures, closely-spaced objects, and dense debris clouds typical of ballistic ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  4. Post Intercept Debris Predictions for EO/IR Scene Modeling

    SBC: SCITEC INC            Topic: MDA12T005

    SciTec and Sandia National Laboratories (SNL) propose a multi-scale simulation architecture for generating optical signatures from missile intercept debris clouds based on output from hydrocode tools developed at SNL while furthering optical data exploitation from the library of Aegis Ballistic Missile Defense (ABMD) intercept test. This will require developing data-driven relationships for match ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  5. 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
  6. 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
  7. M&S Uncertainty Quantification

    SBC: M4 ENGINEERING, INC.            Topic: MDA12T007

    M4 Engineering, Inc. and Missouri S & T propose to investigate and refine uncertainty quantification (UQ) methods for Ballistic Missile Defense Systems (BMDS) Modeling and Simulation (M & S) with the emphasis on demonstrating the feasibility of non-intrusive stochastic expansions based on polynomial chaos, which will address the accuracy and computational efficiency issues associated with UQ in BM ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  8. 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
  9. Space-based Passive Night Vision Vibrometer

    SBC: Wavefront            Topic: AF12BT02

    ABSTRACT: Remote sensing of surface vibration is an important modality of measures and signals intelligence (MASINT) with a wide range of military applications including target discrimination, clutter rejection, analysis of engine signatures, and seismic detection of buried threats. Other applications of remote vibrometry include remote acoustic sensing, aerial sonar, structural damage assessmen ...

    STTR Phase I 2013 Department of DefenseAir Force
  10. Low Level Signal Detection for Passive Electro-Optical Space-based Surveillance

    SBC: TOYON RESEARCH CORPORATION            Topic: AF12BT02

    ABSTRACT: Toyon Research Corporation and the University of California, Santa Barbara (UCSB) are proposing development and feasibility demonstration of advanced algorithms for the detection of vibration signatures in scattered light. The algorithms are being developed for applications including space-based electro-optical (EO)/infrared (IR) sensing at high frame rates and extremely low signal-to-n ...

    STTR Phase I 2013 Department of DefenseAir Force
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