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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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. Mine Target Reacquisition for Next Generation Mine Neutralization Systems (Sonar SLAM)

    SBC: Physical Sciences Inc.            Topic: MDA12T001

    The US Navy is moving towards a Single Sortie Detect to Engage (SSDTE) paradigm to implement in-stride minehunting and mine prosecution. Integrating in-stride Mine Search and Mine Prosecution functions is a key requirement to achieve the SSDTE paradigm. Mine Target Reacquisition between the mine search operations and mine prosecution phases poses a particular challenge, as planned mine prosecution ...

    STTR Phase II 2019 Department of DefenseNavy
  2. TOPMAST II- Repurposing Computational Analyses of Tactics for Training Assessments

    SBC: Aptima, Inc.            Topic: N18AT003

    As the complexity of threats and emerging warfare capabilities increase, so do the number of Tactics, Techniques, and Procedures (TTPs) and the corresponding training regimes. Instructors are increasingly in need of automated tools to enable training that scales with complexity. Aptima, Inc., and our partners, Aviation Systems Engineering Company, Inc. (ASEC) and the University of Southern Califor ...

    STTR Phase II 2019 Department of DefenseNavy
  3. A Novel, Microscale, Distributable Sensor Technology for Ionizing Radiation

    SBC: CFD Research Corporation            Topic: DTRA14B004

    Terrorist use of radioactive nuclear materials via nuclear and/or radiological dispersion devices (dirty bombs) is a serious threat. Therefore, it is crucial to detect proliferation of nuclear material. Critical challenges include: (a) high sensitivity detection of signature emissions from radioactive isotopes, and (b) cost-effectiveness for deployment of sensor networks across large storage facil ...

    STTR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
  4. Advanced Command and Control Architectures for Autonomous Sensing

    SBC: TOYON RESEARCH CORPORATION            Topic: N18BT030

    We propose to develop an innovative open architecture for the semi-autonomous command and control (C2) of teaming Unmanned Aircraft Systems (UAS). The proposed architecture, based upon Toyon’s Decentralized Asset Management system, supports both centralized and decentralized fusion and control autonomy solutions as well as hybrids approaches. Leveraging STANAG-4586, TCP/IP, UPD, Google™ protob ...

    STTR Phase I 2019 Department of DefenseNavy
  5. Scalable Manufacturing of Composite Components Using Nanostructured Heaters

    SBC: Metis Design Corporation            Topic: N18BT031

    Manufacturing of structural composites traditionally employs autoclaves to achieve high quality parts, including high fiber-volume-fractions and low porosity. A laminate comprised of stacked prepreg plies are cured under a vacuum in addition to ~7 bar of pressure to prevent formation of voids, particulalry in interlaminar (inter-sheet/ply) regions. However, manufacturing composites within an autoc ...

    STTR Phase I 2019 Department of DefenseNavy
  6. Decision Support for Operators of Fully Autonomous Systems using RESTORE: Robust Execution System for Trusted Operation in Relevant Environments

    SBC: Scientific Systems Company Inc.            Topic: N18BT032

    SSCI and MIT (Prof. Julie Shah) propose to develop and test a system that provides real-time assurance and trust in decisions made by autonomous collaborating vehicles. The proposed system is referred to as the RESTORE and represents a decision support tool which facilitates decision making by the operator in cases when decisions by the Collaborative Autonomy (CA) system results in deviations from ...

    STTR Phase I 2019 Department of DefenseNavy
  7. Blending Classical Model-Based Target Classification and Identification Approaches with Data-Driven Artificial Intelligence

    SBC: TOYON RESEARCH CORPORATION            Topic: N18BT033

    Toyon Research Corp. and the University of California propose to develop innovative algorithms to perform automatic target recognition (ATR), localization, and classification of maritime and land targets in EO/IR, LiDAR, and SAR imagery. The proposed algorithms are based on recent developments made at the University of California, which outline a strong mathematical framework for naturally blendin ...

    STTR Phase I 2019 Department of DefenseNavy
  8. Optimized Higher Power Microwave Sources

    SBC: Epirus, Inc.            Topic: N19AT001

    Epirus presents a high powered microwave source that leverages ultra high power density solid state materials, called Leonidas, to meet all of the government’s objectives for the vehicle stop and vessel stop mission. The Leonidas unit has already achieved over 10 kW of effective radiated power (ERP) in laboratory tests using software definable solid state technology and we show how this scales t ...

    STTR Phase I 2019 Department of DefenseNavy
  9. Optimized Higher Power Microwave Sources

    SBC: Metamagnetics Inc.            Topic: N19AT001

    HPM (high power microwave) weapons could disable vehicles, enable vehicle recovery, and reduce collateral damage. Metamagnetics, in partnership with Professor Jane Lehr (University of New Mexico), and General Atomics propose a completely solid-state HPM system based on their work in Gyromagnetic Nonlinear Transmission Lines (gNLTL) and compact High-Gain Slotted Waveguide Antennas. The system will ...

    STTR Phase I 2019 Department of DefenseNavy
  10. Enhanced Sensor Resource Management Utilizing Bayesian Inference

    SBC: GCAS, Inc.            Topic: N19AT002

    This proposal describes the use of machine learning, data mining and Bayesian inference algorithms for incorporation into a surveillance aircraft cognitive radar system. The need for incorporation of higher-order uncertainty distributions will also be assessed. This will result in enhanced sensor resource management capability for surveillance aircraft radar.

    STTR Phase I 2019 Department of DefenseNavy
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