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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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.

  1. Intelligent RF-IR Data Fusion using Artificial Intelligence Techniques

    SBC: Stottler Henke Associates, Inc.            Topic: MDA12T002

    There may be no more important mission for the US military than protection from ballistic missile attack. For any configuration of sensors, it is therefore extremely important to make the most of the collected sensor data. Specifically, this proposal describes how this objective can be accomplished by using artificial intelligence techniques to implement human-quality reasoning on object feature ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  2. Fusion of IR and Radar for Enhanced Threat Recognition and Interception (FIRE-TRAIN)

    SBC: Charles River Analytics, Inc.            Topic: MDA12T001

    The proliferation of sophisticated ballistic missile systems threatens the ability of the U.S. to project military power and defend its deployed forces, its allies, and possibly even the homeland. Adversaries continue to improve their ballistic missile technologies, and are expected to incorporate multiple warheads, countermeasures, and decoys. The AEGIS systemthe sea-based component of the U.S. b ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  3. IR/RF SPARK- IR/RF fusion using Stochastic Programming And Robust Kinematic features

    SBC: Scientific Systems Company Inc.            Topic: MDA12T002

    SSCI and MIT team will approach a problem of fusing target data from sensor of different phenomenology using Probabilistic programming technology, Stochastic inference techniques based on Markov chain simulation, and Robust kinematic features. These methods will allow us to estimate the extend of information on metric, material, and kinematic properties of the observed low resolution targets av ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  4. An improved passivation process for the fabrication of high performance antimony based III-V superlattice materials

    SBC: IRDT Solutions, Inc            Topic: MDA12T003

    Phase I objective is to demonstrate the feasibility of our proposed passivation approach to minimize the dark current noise and improve the quantum efficiency in the GaSb based type II superlattice detectors. Phase I goal is to demonstrate the feasibility of our technology to fabricate photodiodes with cut-off wavelength in excess of 10µm, quantum efficiency exceeding 70% and dark current density ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  5. Feature-Aided RF/IR Track Correlation

    SBC: Physical Sciences Inc.            Topic: MDA12T001

    Missile tracking sensors such as radar and EO/IR are often called upon to track constellations of multiple closely spaced objects, and recognize pairs of matching tracks from each sensor"s view. The outcome of this track correlation process is crucial for missile defense interceptors, as any failure to identify matches with certainty, for example because of an excessive number of tracks associate ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  6. Modeling Operator Reasoning and Performance for Human-in-Control Simulation (MORPHIC)

    SBC: Charles River Analytics, Inc.            Topic: MDA12T006

    As the United States makes strides in developing, testing, and deploying missile defense technology, the human element remains core to the integrated, layered ballistic missile defense system (BMDS) architecture. Human operators oversee the command and control at the system, component, and element level across a vast array of networked ground-, sea-, and space-based sensors and interceptors to eff ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  7. 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
  8. Innovative Fast Running Post Intercept EO/IR Scene Generator

    SBC: Physical Sciences Inc.            Topic: MDA12T005

    Physical Sciences Inc. (PSI) and Johns Hopkins Applied Physics Laboratory (APL) propose to develop an innovative fast running post-intercept electro-optical infrared (EO/IR) scene generator. This scene generator will incorporate and leverage both PSI"s post-intercept radar debris scene generator PRSIM and APL suite of EO/IR prediction and analysis tools including the re-entry vehicle intercept sig ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  9. ModelSHOP- Model for Simulated Human Operator Performance

    SBC: Stottler Henke Associates, Inc.            Topic: MDA12T006

    We propose to develop the Model for Simulated Human Operator Performance (ModelSHOP), a behavior authoring and execution capability for injecting variable Human-in-Control (HIC) actions and decisions into Ballistic Missile Defense System (BMDS) simulation. ModelSHOP will provide a generative model structure for representing key human performance moderators to combine in different ways to simulate ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  10. 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
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