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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. Secure Executable Storage and Networking for Distributed Weapon Systems

    SBC: STREAMLINE AUTOMATION LLC            Topic: N/A

    Streamline Automation, LLC, with the support of United Defense, L.P. will develop tools for protecting software executables, and secure inter-unit networking. Modern weapon systems, such as Future Combat System (FCS) rely on a distributed network ofsensors, command elements and weapon platforms. Successful operation will require secure networking between them. In addition, the trend toward the ...

    SBIR Phase I 2003 Department of DefenseMissile Defense Agency
  2. Laser Lethality Assessment via Advanced Multi-Physics Simulation

    SBC: CFD RESEARCH CORPORATION            Topic: N/A

    Directed energy weapons are being developed for both short and long term introduction into the U.S. arsenal for boost phase missile defense. A key to understanding the effectiveness of these weapons is a tool to assess modes of missile failure. Fracturemechanics based models exist, but under certain engagement conditions these do not predict clear, catastrophic failure. CFD Research Corporation ...

    SBIR Phase I 2003 Department of DefenseMissile Defense Agency
  3. 3-D Modeling of Rocket Motor Plume Effects Through Adaptive Viscous Cartesian Analysis

    SBC: CFD RESEARCH CORPORATION            Topic: N/A

    We propose to utilize the combination of a projection-based viscous cartesian grid approach with an anisotropic grid generation and adaptive refinement scheme to create an innovative missile-plume aerothermal flowfield simulation tool. The viscous adaptiveCartesian approach will enable automatic, efficient and accurate solutions of missile plume shapes and plume phenomenology at all operating cond ...

    SBIR Phase I 2003 Department of DefenseMissile Defense Agency
  4. Using Partitioning Tracer Technology to Characterize Contaminated Pipelines

    SBC: CFD RESEARCH CORPORATION            Topic: N/A

    70607B02-II Improved technologies are needed to assist in the decontamination and decommissioning (D&D) of facilities used to support nuclear weapons production. In particular, a cost-effective approach is required to determine whether or not piping systems are contaminated and if so, to determine the level of contamination and its location in the pipe. This project will use both conservative a ...

    STTR Phase I 2003 Department of DefenseMissile Defense Agency
  5. Advanced Computational Simulations Tool for Missile Plumes Transient Events Prediction

    SBC: CFD RESEARCH CORPORATION            Topic: N/A

    This proposal offers an innovative and efficient computational simulation tool for the prediction of missile plume transient events and associated missile unsteady flow fields. The proposed solution will enable simulating the complete range of flowfieldtransient effects resulting from time-dependent flow boundary conditions, prescribed body and thrust vector motion, and up to performing a complete ...

    SBIR Phase I 2003 Department of DefenseMissile Defense Agency
  6. Computationally Assisted Electronic Hardening

    SBC: CFD RESEARCH CORPORATION            Topic: N/A

    Reliable and sensitive aerial defense applications (missile seekers, avionics, remote sensing) demand that electronic components be resistant to ionizing radiation from nuclear weapons and upper atmosphere/terrestrial sources. CFDRC, in collaboration withHoneywell and Vanderbilt University, is proposing to develop electronic-hardening concepts at the process, device and primitive cell level to ach ...

    SBIR Phase I 2003 Department of DefenseMissile Defense Agency
  7. Advanced Scene Generation Techniques

    SBC: CG2, Inc.            Topic: N/A

    The growth in capabilities of Personal Computers over the past decade has been extraordinary. Until recently, large computational resource dictated the use of specialized hardware. With the phenomenal growth of capabilities of workstation grade personalcomputer systems, the range of potential applications that can be addressed with consumer off the shelf computational systems has expanded signif ...

    SBIR Phase I 2003 Department of DefenseMissile Defense Agency
  8. Bayesian Network of Support Vector Machines for Robust Threat Identification

    SBC: EAST WEST ENTERPRISES, INC.            Topic: N/A

    For any real world pattern classification system (detection, identification, and tracking), there is an inherent problem of optimizing the algorithm's performance for a wide range of scenarios. This is due to a large dynamic range of variables (solarloading, solar reflectance, atmospherics, background, target condition, countermeasures) which will impact the target's feature set. The variabilit ...

    SBIR Phase I 2003 Department of DefenseMissile Defense Agency
  9. Physics Based Discrimination Algorithms with New OPTISIG

    SBC: EAST WEST ENTERPRISES, INC.            Topic: N/A

    East West Enterprises Inc. (EWE) proposes to develop physics based discrimination algorithms to improve GMD's ability to identify target objects in cluttered environments. Robust discrimination ability can be facilitated with a high-speed, high fidelity,signature code that can rapidly simulate all of the assumed threat objects, as seen from multiple sensor locations. This high-speed code would rap ...

    SBIR Phase I 2003 Department of DefenseMissile Defense Agency
  10. Novel Integrated Software Tool for Feature Selection and Data Visualization

    SBC: EAST WEST ENTERPRISES, INC.            Topic: N/A

    Data analysis and feature selection for discrimination are, for the most part, very manual and time consuming tasks which are non-optimized. While an experienced algorithm developer will have reasonably good success in the selection of robust features, itis impossible to manually analyze the many sets of actual test and simulated data and select the truly optimal set of features for discriminatio ...

    SBIR Phase I 2003 Department of DefenseMissile Defense Agency
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