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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until April, 2020.

  1. Heterdyne Interferometer for Triggering Gas Puff PRSs

    SBC: HY-Tech Research Corp.            Topic: N/A

    Large X-ray generators using gas fill loads are a key element in the DTRA simulator program. Consistent relative timing between the injection of the gas shell and the generator current pulse is crucial to producing consistent, high-yield x-ray pulses.To that end HY-Tech proposes replacing existing high voltage trigger pin technology, with a sensitive, all fiber-optic heterodyne interferometer ba ...

    SBIR Phase I 2003 Department of DefenseDefense Threat Reduction Agency
  2. Modeling and Development of Conformal Metamaterials for Wideband EMI Shielding

    SBC: Luna Innovations Incorporated            Topic: DTRA103004

    U.S. military communications and weapons systems are reliant on electronics systems that are highly sensitive to external electromagnetic (EM) threats, whether from intentional or environmental sources. In order to protect from these external EM threats, high levels of electromagnetic interference (EMI) shielding are required. Significant advances in materials technology and manufacturing, howev ...

    SBIR Phase I 2012 Department of DefenseDefense Threat Reduction Agency
  3. HybridSil Nanocomposite Potting Materials for Next Generation Precision Munitions

    SBC: Nanosonic Inc.            Topic: DTRA112001

    The objective of this SBIR program is to adapt NanoSonic"s high temperature, ballistic resistant HybridSilTM nanocomposites for use as next generation potting materials with exceptional thermal durability, g-force resilience, and negligible variation (

    SBIR Phase I 2012 Department of DefenseDefense Threat Reduction Agency
  4. Adaptable Multi-Layer Inference System for Distributed Sensor Networks

    SBC: ADAPTIVE METHODS, INC.            Topic: DTRA112002

    Adaptive Methods and Applied Research Laboratory at Penn State are developing a hierarchical inference approach for multi-modal unattended ground sensor (UGS) networks. that will enable significant performance gains via integrated machine learning techniques, to include In situ performance characterization and automated adaptation to site-specific environmental characteristics; unsupervised learni ...

    SBIR Phase I 2012 Department of DefenseDefense Threat Reduction Agency
  5. Automated pattern recognition methods to identify nuclear explosions

    SBC: Acorn Science & Innovation, Inc.            Topic: DTRA182005

    Reliable automated pattern recognition in the current system is limited by excessive noise and clutter combined with insufficient and/or ambiguous features. Our team consisting of AcornSI and Leidos thus propose a multi-step approach based on the combined effects of improved detection, feature extraction, phase identification, and global association.A key innovation here is creating a new classifi ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency

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