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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. Subaperture Adaptive Optics for directed energy phased arrays

    SBC: G. A. Tyler Associates, Inc.            Topic: AF12BT13

    ABSTRACT: The proposed research will develop a method of compensating atmospheric disturbances in the transmitting subapertures of a phased array transceiver operating in the infrared. The aero-optical boundary layer and atmospheric turbulence create phase variations within each subaperture. To compensate these variations, an adaptive optical system will be used in each subaperture. The propos ...

    STTR Phase I 2013 Department of DefenseAir Force
  2. Intra-Subaperture Adaptive Optical (ISAO) System

    SBC: NUTRONICS, INC.            Topic: AF12BT13

    ABSTRACT: Current and projected limitations on the maximum power from a high power single mode fiber laser amplifier impose architectural limitations on a high power phased array laser weapon system. Prior studies strongly indicate that when faced with this limitation the optimal approach is (to borrow the term for Paul McManamon) a Phased Array of Phased Arrays (PAPA) geometry wherein large(r) ...

    STTR Phase I 2013 Department of DefenseAir Force
  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. 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
  5. Automated Human and System Performance Assessment in Operational Environments

    SBC: ADVANCED ANTI-TERROR TECHNOLOGIES CORP            Topic: N11AT001

    Our Fused-Realities-Assessments-Modules(FRAM) enables innovative new levels and types of automated quantification strategies for combining human and system performance in real-time for fused performance monitoring and after-action-review purposes. FRAM accomplishes this by fusing output of normative models of behaviors (cognitive/procedural/team), human states (physiological/affective), system sta ...

    STTR Phase II 2013 Department of DefenseNavy
  6. Cognitive Task Analysis Based Modeling and Simulation Environment for Cyber Training and Assessment

    SBC: Scalable Network Technologies, Inc.            Topic: OSD12T08

    The goal of the proposed work is to develop simulation and analysis model based on cognitive task analysis for cyber situation awareness, for human-in-the-loop testing and training. Cognitive task analysis technique is a prominent approach that captures knowledge representation used by experts to perform complex tasks. It provides a comprehensive vulnerability assessment using cognitive metrics t ...

    STTR Phase I 2013 Department of DefenseArmy
  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. 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
  9. 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
  10. 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
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