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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. Optimized Higher Power Microwave Sources

    SBC: XL SCIENTIFIC LLC            Topic: N19AT001

    Verus Research and the University of New Mexico (UNM) are pleased to respond to the Navy Phase I STTR solicitation N19A-T001 titled “Optimized Higher Power Microwave Sources.” Verus Research, in collaboration with UNM, propose to develop a GW-class, S-band, high power microwave (HPM) source to integrate in vehicle and vessel stopping systems. Our integrated approach ensures the objectives for ...

    STTR Phase I 2019 Department of DefenseNavy
  2. INSIGHT: A System for Correlating Physiological Measures of Pilot Workload to Handling Qualities

    SBC: BARRON ASSOCIATES, INC.            Topic: N192071

    Barron Associates proposes development of the INSIGHT technology that will apply statistical learningmethods to achieve robust classification and/or estimation of pilot workload (PWL) based on pilot physiological and activity measures. PWL is reflective of both pilot stress and task difficulty, both of which are affected by aircraft handling qualities. INSIGHT consists of a suite of sensors custom ...

    SBIR Phase I 2019 Department of DefenseNavy
  3. Submarine Mast Discrimination Techniques for High-Altitude Maritime Surveillance Radar

    SBC: THE PROBITAS PROJECT, INC.            Topic: N192059

    The shift of Anti-Submarine Warfare (ASW) Periscope Detection and Discrimination (PDD) radar sensor platforms from low-altitude, low-grazing angles to mid- and high-altitude, high-grazing angles requires new radar modes and innovative processing techniques to detect submarine mast signatures and discriminate them from sea clutter, flotsam returns, and other man-made objects such as buoys and small ...

    SBIR Phase I 2019 Department of DefenseNavy
  4. HIGH STRENGTH, WATER-FILLED CERAMIC NANOCOMPOSITE MICROCAPSULES WITH LOW PERMEABILITY FOR SELF-SEALING FUEL BLADDERS

    SBC: NANOSONIC INC.            Topic: N19BT030

    During the proposed Navy STTR program, NanoSonic and Virginia Tech will design and synthesize innovative, high strength ceramic nanocomposite microcapsules filled with > 80 volume percent water that are empirically optimized to function as readily dispersed powdered additives with long-term water retention, durability during air craft bladder production, and rupture during ballistic shock. NanoSon ...

    STTR Phase I 2019 Department of DefenseNavy
  5. Robust, Low Permeability, Water-Filled Microcapsules

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: N19BT030

    The Navy is actively developing a self-sealing, water-activated fuel bladder to mitigate fuel leaks upon mechanical shock (e.g. penetration by a .50 caliber bullet). To circumvent the requirement of an external water source to activate the self-sealing, this system will require water-filled microcapsules that can be incorporated directly into the polymeric matrix of the fuel bladder. Upon mechanic ...

    STTR Phase I 2019 Department of DefenseNavy
  6. Predictor of Aircraft Structural Loads Due to Buffet

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N192058

    Buffet is a significant loading source on an aircraft that must be properly accounted for in order to obtain accurate design loads during the initial design phase as well as accurate fatigue loads to properly track the service life of the aircraft. When flow separation occurs during maneuvering outside of the linear aerodynamic regime, the resulting turbulent flow induces oscillations on the local ...

    SBIR Phase I 2019 Department of DefenseNavy
  7. Minimization of In-Band Interferers on Airborne Anti-Submarine System Performance

    SBC: IN-DEPTH ENGINEERING CORPORATION            Topic: N182116

    Coordinated Anti-Submarine Warfare (ASW) tactical operations frequently hinge upon the ability of our airborne assets to detect, classify, localize and prosecute enemy submarines who possess formidable offensive and defensive capabilities. This is becoming increasingly difficult as enemy assets get quieter and the acoustic environment becomes increasingly crowded. The Navy’s airborne ASW passive ...

    SBIR Phase I 2019 Department of DefenseNavy
  8. Conductivity, Temperature, Depth (CTD) Sensor for Ohio Class Ballistic Missile (SSBN), Ohio Class Guided Missile (SSGN), and Columbia Class Submarines

    SBC: QUALITY SUPPORT, INC.            Topic: N191027

    Submarine sonar systems depend upon a Sound Velocity Profile (SVP) as a critical input to develop the acoustic sensor view of the ocean environment surrounding the submarine and to identify undersea threats. The source of noise radiates outward and bends as a function of water density, which is a function of Conductivity, Temperature and Depth (CTD), in accordance with Snell’s law of refraction ...

    SBIR Phase I 2019 Department of DefenseNavy
  9. Adaptive Radar Algorithms for Next Generation Surface Search Radar

    SBC: THE PROBITAS PROJECT, INC.            Topic: N191029

    The Navy’s Next Generation Surface Search Radar (NGSSR) system simultaneously supports the primary missions of surface search, precision radar navigation, and periscope detection and discrimination (PDD). The NGSSR system achieves these multiple missions through the uses of programmable waveform modes, unique waveform design and scheduling, and software programmability that take advantage of var ...

    SBIR Phase I 2019 Department of DefenseNavy
  10. Artificial Intelligence Real-Time Track Modeling and Simulation for Combat Systems

    SBC: MOSAIC ATM, INC.            Topic: N191032

    Ships operate in an environment with a large number of air and surface tracks, where surveillance data may experience gaps in coverage for many reasons. This proposed effort will develop enhancements to be integrated into both current and future shipboard combat systems to provide more operationally useful and realistic predictions of track behavior and location using machine learning (ML) and art ...

    SBIR Phase I 2019 Department of DefenseNavy
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