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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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. Standoff Coherent Optical Detection of Acoustic Signals (SCODAS)

    SBC: INTELLIGENT AUTOMATION, INC.            Topic: AF12BT02

    ABSTRACT: Detection of clandestine tunnels and underground facilities is a continuing interest of the US DoD and Customs and Border Protection. Research continues in an attempt to find functional and reliable sensing methods, including seismic methods. Dynamic activity in tunnels emits mechanical energy that propagates away in seismic waves. Resulting ground vibrations can be measured at offset d ...

    STTR Phase I 2013 Department of DefenseAir Force
  2. SANDGT: a Stochastic Adaptive Nonlinear Differential Game Tool for Persistent and Risk-Averse Space Situation Awareness

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF12BT09

    ABSTRACT: Space defense analysis and mission trade studies are vital for the success of space-borne military operation. In this proposal, Intelligent Fusion Technology, Inc (IFT) and its partners propose a decision support tool called stochastic adaptive nonlinear differential game tool (SANDGT) for persistent and risk-advert space situation awareness. The main idea of our approach is to design a ...

    STTR Phase I 2013 Department of DefenseAir Force
  3. Robust Decision Tool for Persistent Space Self Defense Systems

    SBC: INTELLIGENT AUTOMATION, INC.            Topic: AF12BT09

    ABSTRACT: Intelligent Automation, Inc. (IAI) proposes to apply a game theoretic approach to design a robust decision making tool for self defense space systems that integrates realistic system models, distributed sensor management, advanced estimation, and tracking techniques. Our approach uses innovative game models to track space objects, analyze their orbits, and provide decision tools for the ...

    STTR Phase I 2013 Department of DefenseAir Force
  4. Robust Mid-IR Optical Fibers for Extreme Environments

    SBC: Lambda Photonics, LLC            Topic: AF15AT02

    ABSTRACT: Infrared sources and sensors are becoming increasingly useful for military and commercial applications. We propose to exploit recent advances in multimaterial fiber technology to produce a new class of optical infrared fibers that are robust and low in cost for high-power, high-stress environments. The use of beam confining fiber optics reduces or eliminates issues with misalignment or d ...

    STTR Phase I 2016 Department of DefenseAir Force
  5. Subspace Tracking and Manifold Learning Based Heterogeneous Data Fusion for Unexpected Event Discovery

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF16AT12

    We aim to develop data-driven heterogeneous data fusion approaches for unanticipated event/target detection, which will be more robust and immune to model mismatch problems encountered by model-based approaches. Considering the low intrinsic dimensionality of the sensor data, we propose several data-level fusion approaches based on some state-of-the-art dimensionality reduction techniques. For lin ...

    STTR Phase I 2016 Department of DefenseAir Force
  6. Increased High-Temperature Reliability for Die Extraction and Reassembly

    SBC: Global Circuit Innovations, Inc.            Topic: AF16AT17

    Global Circuit Innovations (GCIs) die extraction and reassembly technology(DER) generated initial interest in and demand by the commercial industry through demonstrating the value of remanufacturing an original integrated circuit (IC) from a plas...

    STTR Phase I 2016 Department of DefenseAir Force
  7. Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite Behaviors

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF17CT02

    Space superiority requires space protection and space situational awareness (SSA), which rely on rapid and accurate space object behavioral and operational intent discovery. The focus of this project is to develop a stochastic approach for rapid discovery of evasive satellite behaviors. Designing the innovative decision support tool has numerous challenges: (i) partial observable actions; (ii) eva ...

    STTR Phase I 2018 Department of DefenseAir Force
  8. Oxygen Production and Delivery on Demand

    SBC: Global Research and Development Inc.            Topic: DHA17B005

    This proposal is in response to the Defense Health Agency 2017 Phase I SBIR topic 17B-005.The approach is the use of a membrane oxygen pump using newly developed nano-thickness membranes with all the layers less than 1 micron total.Nanometer thickness membranes enable more oxygen output per surface area at temperatures of 300-600 C than current state-of-the -art 600-800 C membranes that are 50-300 ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  9. HASLOC: Hierarchical And-Or Structures forLocalization and Object Recognition

    SBC: INTELLIGENT AUTOMATION, INC.            Topic: AF18AT014

    Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recogni ...

    STTR Phase I 2018 Department of DefenseAir Force
  10. Innovations in Physical Modeling and Statistical Exploitation of Electromagnetic Target Signatures

    SBC: Five Focal LLC            Topic: AF12BT06

    ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...

    STTR Phase I 2013 Department of DefenseAir Force
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