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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. Accelerated Burn-In Process for High Power Quantum Cascade Lasers to Reduce Total Cost of Ownership

    SBC: ADTECH PHOTONICS, INC.            Topic: N20BT029

    Quantum Cascade Lasers (QCLs) are one of the most versatile sources of radiation in the mid-infrared range and have found applications in a variety of fields. Despite their widespread adoption, one of the main hurdles holding QCLs back from large volume manufacturing is the large cost of ownership. While QCLs, like most semiconductor devices based on III-V compounds, can leverage the economies of ...

    STTR Phase I 2021 Department of DefenseNavy
  2. Acoustic Intercept Receiver for Naval Special Warfare Undersea Vehicles

    SBC: Sonatech, Inc.            Topic: N09T012

    Naval Special Warfare (NSW) teams often use underwater vehicles (UVs) for clandestine transport into highly sensitive littoral areas. The current sonar suites on the existing vehicles do not include a system for detecting and identifying active sonar transmissions, making the vehicle and the SEALs susceptible to detection by active sonar systems on manned and unmanned surface and subsurface surve ...

    STTR Phase I 2009 Department of DefenseNavy
  3. Acoustic Intercept Receiver for Naval Special Warfare Undersea Vehicles

    SBC: INFORMATION SYSTEMS LABORATORIES INC            Topic: N09T012

    Information Systems Laboratories (ISL) and Florida Atlantic University (FAU) propose to develop and test a system that uses existing signal processing algorithms coupled with innovative construction technology developed ISL under our E-Field sensor programs and FAU under UUV programs. The Challenge is to develop a small system package with the capability to intercept active threat emissions early ...

    STTR Phase I 2009 Department of DefenseNavy
  4. Acoustic Pattern Recognition for Security Breaching Noise Detection

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.            Topic: N06T036

    A proposed acoustic pattern recognition system will be based around an array of acoustic sensors to allow localization of sound events and cancellation of background noise. The number of sensors could be adjusted to vary the coverage area depending on the site. The measured signals will provide the input to a sophisticated signal processing algorithm that will separate the acoustic signals into ...

    STTR Phase I 2006 Department of DefenseNavy
  5. Active Imaging through Fog

    SBC: SA PHOTONICS, LLC            Topic: N18AT021

    Active imaging systems are used to for imaging in degraded visual environments like that found in marine fog and other environments with a high level of attenuation and scattering from obscurants like fog, rain, smoke, and dust.These systems are still limited in range and resolution. SA Photonics is taking advantage of multiple image enhancement techniques, like wavelength tunability, pulse contro ...

    STTR Phase I 2018 Department of DefenseNavy
  6. Active Transfer Learning for Intelligent Tutoring

    SBC: SOAR TECHNOLOGY INC            Topic: N15AT013

    We propose an intelligent assessment concept that will discover and reason about KSAs in multiple instruc-tional domains and settings. SoarTech will team with world-class researchers from the University of Califor-nia, Davis and the University of Memphis to research and develop TARGET: Transfer via Active Requests to Generalize Effective Training. TARGET will enhance SoarTechs assessment system DA ...

    STTR Phase I 2015 Department of DefenseNavy
  7. Adaptable Sensor Processing for Passive Targets Using Neuro

    SBC: Nova Research, Inc. DBA Nova Sensors            Topic: N/A

    Work to be performed in this program is based upon years of innovative technology development invested by personnel at Nova Research. Techniques proposed here are patterned after biological principles which, when applied to finding targets which are moving against highly cluttered infrared backgrounds, will be shown to exhibit remarkable performance. Sensor and data fusion techniques may ...

    STTR Phase I 1998 Department of DefenseNavy
  8. Adaptive Behavior Modeling of Asymmetric Tactics (ABMAT)

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: OSD07T005

    In order for simulation based training to help prepare warfighters for modern asymmetric tactics, opponent models of behavior must become more dynamic and contemporary and challenge trainees with adaptive threats consistent with those increasingly encountered by the military. The proposed Adaptive Behavior Modeling of Asymmetric Tactics (ABMAT) system will apply artificial intelligence machine le ...

    STTR Phase I 2007 Department of DefenseNavy
  9. Adaptive Fleet Synthetic Scenario Research

    SBC: KAB LABORATORIES INC.            Topic: N10AT044

    Synthetic scenario-based training of Navy personnel in the use of Navy SIGINT/IO systems has helped to reduce training costs, and it has enabled the personnel to be trained in an environment that sufficiently approximates real-world situations that could not otherwise be accomplished within the class room. However, scenario development is highly complex and involves a great deal of human effo ...

    STTR Phase I 2010 Department of DefenseNavy
  10. Adaptive Fleet Synthetic Scenario Research

    SBC: SONALYSTS INC            Topic: N10AT044

    Together with our research institution partner, the University of Central Florida (UCF) Institute for Simulation and Training (IST), Sonalysts is pleased to submit this proposal to investigate the feasibility of creating a Service Oriented Architecture (SOA) framework for correlation and fusion algorithms that drive scenario generation across many information domains (communication, imagery, track ...

    STTR Phase I 2010 Department of DefenseNavy
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