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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. Radio Frequency Infrared (RF-IR) Data Fusion

    SBC: DECIBEL RESEARCH, INC.            Topic: MDA12T002

    Under the Phase I effort, a set of algorithms were developed/enhanced that, when integrated into a fused track and characterization schema, are capable of realizing the full potential performance afforded by the battle manager having multiple sensors. dBWager is a multi-sensor measurement correlation algorithm that provides highly accurate state vector estimates and provides the correlation of e ...

    STTR Phase II 2014 Department of DefenseMissile Defense Agency
  2. Micro-Particle Debris Characterization from Hyper-Velocity Impacts

    SBC: Torch Technologies, Inc.            Topic: MDA13T002

    Leveraging the results of our Phase I work, the Torch Team proposes to execute laboratory-based experiments to elucidate fundamental micro-debris formation mechanisms to improve optical modeling of impacts. Optical signatures from impacts collected over the last decade have identified definitive micro-debris parameter trends. However, current theories have difficulty reproducing these optical ob ...

    STTR Phase II 2015 Department of DefenseMissile Defense Agency
  3. RF/EO Track Correlation and Characterization (RETC2)

    SBC: EXOANALYTIC SOLUTIONS INC            Topic: MDA12T002

    In order to counter emerging threats from the Middle East and Southeast Asia, the Ballistic Missile Defense System (BMDS) is acquiring new sensor (e.g. AN/TPY-2 and PTSS type) and weapon technology (SM-3). As these new technologies are fielded, the BMDS's Command, Control, Battle Management and Communication (C2BMC) component must be able to correlate objects between multiple sensors. Inher ...

    STTR Phase II 2014 Department of DefenseMissile Defense Agency
  4. Intelligent RF-IR Data Fusion using Artificial Intelligence Techniques

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: MDA12T002

    The ultimate goal of this proposed effort is to better utilize disparate sensor data to perform better correlations and lethality assessments through the development of a sensor data fusion system using artificial intelligence (AI) techniques and the concept of extracting features from raw sensor data and reasoning about those features and their hypothetical association with hypothesized objects. ...

    STTR Phase II 2014 Department of DefenseMissile Defense Agency
  5. Efficient Clutter Suppression and Nonlinear Filtering Techniques for Tracking Objects in the Presence of Debris

    SBC: TOYON RESEARCH CORPORATION            Topic: MDA12T004

    Toyon developed a Phase I framework leveraging spatiotemporal image processing algorithms for non-stationary clutter estimation, and nonlinear filtering based Track-before-Detect algorithms for tracking targets. Information is fused across sensors without loss of information due to detection thresholds. Algorithms, when applied jointly, provide a near-optimal solution. In addition, algorithms a ...

    STTR Phase II 2014 Department of DefenseMissile Defense Agency
  6. Base Metal Electrode Capacitor Test Methods

    SBC: FUNDO SCIENCE CORPORATION            Topic: MDA14T003

    Miniaturized base metal electrodes (BME) multilayer ceramic capacitors (MLCC) are of great interest for future missile applications as designers are striving to achieve smaller, lighter, cheaper, faster and better electronic assemblies without sacrificing long-term performance. Unfortunately, screening, reliability and qualifications criteria are either not available or not standardized. In the ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  7. Failure Avoidance in Microelectronics through Coefficient of Thermal Expansion (CTE) Mismatch Modeling and Design

    SBC: Space Micro Inc.            Topic: MDA14T002

    Space Micro will develop the core of the decision support system, assemble the models and material properties and demonstrate the utility of the program in materials selection on a subset of failures related to a specific test-bed, which will be the attachment of quad-flat no-leads (QFN) and ball grid array (BGA) devices to printed wiring boards using different solders, underfills, QFN or BGA geom ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  8. Lightweight, Stable Optical Bench with Vibration Attenuating Properties

    SBC: SAN DIEGO COMPOSITES, INC.            Topic: MDA13T007

    Airborne optical benches must provide high levels of stability to ensure the mission success of sensitive optical equipment. Optical structures used in high altitude Unmanned Aerial Vehicle (UAV) platforms must remain especially robust due to the significant environmental changes between ground level and high altitudes. The goal of this program is to design a lightweight optical bench capable of r ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
  9. Microelectronics Component Adhesive Selection and Design Rules for Failure Avoidance

    SBC: CFD RESEARCH CORPORATION            Topic: MDA14T002

    Thermally induced fatigue and residual stress introduced during fabrication are sources of stress related failure in microelectronics, which raises concerns about product reliability and specification. CFDRC has teamed with experts in the reliability of microelectronics packaging to develop a testing and physics based modeling protocol to correlate material properties and thermal loading conditio ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  10. Decision Making under Uncertainty

    SBC: GCAS, Inc.            Topic: MDA13T001

    The objectives of our Phase I effort are to characterize target sensor measurement uncertainties and feature extraction uncertainties; determine how and where, in the processing chain, these affect target discrimination and classification; show how the different sources of uncertainty lead to the cumulative uncertainty in the final decision; provide techniques that will be instrumental to optimizi ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
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