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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. Theater Anti-Submarine Warfare Contextual Reasoning

    SBC: SONALYSTS INC            Topic: N171093

    Our proposed solution will develop a derivative adaptive filter drawn from Control Theory to continuously evaluate threat submarine contact data and negative search data to generate the best fit estimated contact location derived by weighting each member of a set of estimated threat submarine tracks. These estimated threat submarine track inputs to the adaptive filter will be generated from two ty ...

    SBIR Phase I 2017 Department of DefenseNavy
  2. Interferometric ISAR Imaging of Maritime Targets for Improved Classification

    SBC: Systems & Technology Research LLC            Topic: N171094

    STR will develop a novel approach to 3D imaging and classification of maritime targets using interferometric inverse synthetic aperture radar (InISAR) in order to improve timeliness, accuracy, and sustainability of target recognition in congested littoral environments. In contrast to 2D ISAR imaging or other published InISAR work, our approach provides true 3D metric measurements and true cross-ra ...

    SBIR Phase I 2017 Department of DefenseNavy
  3. Ultra-High Frequency Clutter Model for Airborne Surveillance Radar

    SBC: Systems & Technology Research LLC            Topic: N172111

    STR proposes the development of a high-fidelity UHF radar clutter data simulation environment, leveraging existing simulation code adapted to the UHF E-2D application for the purposes of direct injection into a radar simulator. Several prior programs at STR have developed radar signal processing algorithms for airborne MTI applications that have included A/D level clutter simulators. On this progr ...

    SBIR Phase I 2017 Department of DefenseNavy
  4. Relevant Image Mosaic Image Management Algorithm Development

    SBC: SONALYSTS INC            Topic: N172112

    Current Naval Air Systems imagery exploitation systems are fed new images from high speed data streams but have limited organic system file storage capability. With no built in logic to manage the storage volume, a first-in-first-out default overwrite situation often results, which hampers mission planning or results in planners having to expend time manually searching external libraries for neede ...

    SBIR Phase I 2017 Department of DefenseNavy
  5. Miniature Oriented Tri-Axial Fluxgate Magnetometer Sensor

    SBC: OCEANIT LABORATORIES INC            Topic: N172116

    Oceanit proposes to develop a miniature oriented fluxgate magnetometer similar to the AN/ASQ-10 for use across multiple operational platforms with focus on unmanned vehicles in a maritime environment.

    SBIR Phase I 2017 Department of DefenseNavy
  6. Miniature Oriented Tri-Axial Fluxgate Magnetometer Sensor

    SBC: WINCHESTER TECHNOLOGIES LLC            Topic: N172116

    Recent development of unmanned vehicles (UVs) demands for new technologies on tri-axial fluxgate magnetometers with ultra-low noise level, reduced size and weight. The sensitivity and noise level of traditional tri-axial fluxgate magnetometers are limited by the intrinsic noise of magnetic materials. And their size and weight are limited by their bulky magnetic cores. The objective of this proposa ...

    SBIR Phase I 2017 Department of DefenseNavy
  7. MASTER: Mishap Awareness Scenario Training for Ensuring Readiness

    SBC: APTIMA INC            Topic: N172117

    While relatively infrequent, aviation mishaps can be devastating due to the high probability of loss of life and financial ramifications of such events. Factors such as spatial disorientation and lack of situational awareness are known root causes to aviation mishaps and, unfortunately, training for coping with such factors is generally lacking. To work towards a solution of this significant chall ...

    SBIR Phase I 2017 Department of DefenseNavy
  8. System for Analyzing Flight-data to Enrich Mishap Awareness Training Tools and Enhance Readiness (SAFE-MATTERS)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: N172117

    Spatial disorientation (SD) and loss of situational awareness (SA) contribute to nearly a third of military aviation mishaps, posing a serious threat to military aircrews worldwide. Current approaches to mitigate mishaps due to SD and loss of SA traditionally focus on instructor-led classroom teaching that introduces aviation and sensory physiology. However, to more effectively explain human contr ...

    SBIR Phase I 2017 Department of DefenseNavy
  9. The Wide-Beam Multi-Band Laser Profiler (WIMBLER)

    SBC: SPECTRAL SCIENCES INC            Topic: N172118

    WIMBLER will measure temporal signal intensity and laser pointing orientation on the order of kilohertz and create full spatial profiles of beam cross section on the order of seconds. The sensor uses translational and rotational scanning to sample beam profiles in polar coordinates. The optical detector modules are easily swappable to accommodate the UV (350-450 nm), visible (450-800 nm), NIR (106 ...

    SBIR Phase I 2017 Department of DefenseNavy
  10. Mitigation of Helmet Vibration

    SBC: ACENTECH INCORPORATED            Topic: N172120

    Acentech will leverage its expertise and considerable experience in solving vibration and noise problems to develop and provide finite element models and modal and transfer function analyses of the E-2D flight helmet to address the problem of pilot exposure to excessive vibration/noise related primarily to propeller blade passage tones. High-fidelity ANSYS FE models of the helmet composite shell i ...

    SBIR Phase I 2017 Department of DefenseNavy
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