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The Award database is continually updated throughout the year. As a result, data for the given year is not complete until April of the following year. Annual Reports data is a snapshot of agency reported information for that year and hence might look different from the live data in the Awards Information charts.

Displaying 1 - 10 of 4729 results
  1. IED neutralization from an airborne platform

    SBC: IMSAR LLC            Topic: DTRA182001

    In cooperation with the Joint Improvised-threat Defeat Organization (JIDO) and the U.S. Army, IMSAR LLC demonstrated its radar systems' ability to successfully detect IED emplacements from the RQ-7B Shadow Unmanned Aerial System (UAS). As part of the Armys ShadowSAR program, IMSAR operated and maintained these Synthetic Aperture Radar (SAR) sensors for 4years in support of Operation Enduring Freed ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  2. Cooperative RF-Trail Based closed, confined, and constrained Environment Navigation System

    SBC: PRIXARC, LLC            Topic: DTRA182002

    Small multirotor Unmanned Aerial Vehicles (UAVs) are well suited for sensing and situational awareness missions in closed, confined, and constrained (C3) environments. However, autonomous navigation of small VTOL UAVs is very challenging in C3 environments. Current state of the art navigation methods uses vision and LIDAR to build a map, localize, and plan paths.These methods tend to be computatio ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  3. Autonomous navigation through small, confined spaces

    SBC: Greensight Agronomics, Inc.            Topic: DTRA182002

    GreenSight Agronomics (GSAg) is proposing to develop a man-portable, fully autonomous aerial mapping system to satisfy the goal of the solicitation: quickly and completely mapping a confined space with no human guidance. The vehicle will have a 400 mm frame size to provide an ideal balance between maneuverability, flight time, and payload capacity. We have chosen the Pixhawk platform running ArduP ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  4. High-Fidelity Diagnostics of Aerosols and Vapors at High Temperatures and Pressures

    SBC: Spectral Energies, LLC            Topic: DTRA182003

    There is a need to improve the understanding of physical and chemical processes involved in the evolution of chemical warfare agent (CWA) simulant aerosols and vapors that are interacting with combustion, deflagration, and detonation products. However, the measurement of aerosols and vapors is very challenging because of limited knowledge of the photophysics at varying temperatures and pressures, ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  5. A Compact and Fast Long-Wave Infrared (LWIR) Spectroscopy System for Aerosol Combustion

    SBC: OPTICSLAH, LLC            Topic: DTRA182003

    To fully understand the combustion dynamics when chemical warfare agents are detonated, fast time-scale diagnostics are needed. While computational modeling may provide insight into the different processes, experimental measurements are needed to verify and validate these models. Since the detonation or combustion of chemical agents can result in optically thick fireballs, innovative techniques mu ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  6. Modeling of Chemical Hazards Dispersion in Lakes and Reservoirs in CONUS

    SBC: Maritime Planning Associates, Inc.            Topic: DTRA182004

    The objective of this study is to develop methods to adequately characterize the chemical and physical environments of lakes and reservoirs for the CONUS operational implementation within SHARC. Over the course of this project we will explore the novel and innovative integration of deep machine learning, data analytics, computational fluid mechanics and in-situ/overhead empirical data. Specificall ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  7. 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
  8. Cyclone Collection system for Radionuclide Detection

    SBC: CREARE LLC            Topic: DTRA182006

    The detection of radionuclide aerosols is a critical indicator of a nuclear detonation. Existing sensors as part of the International Monitoring System operate in a batch process and typically have a 48 to 72 hour delay between aerosol sample collection and measurement activities due to limits of instrument sensitivity. The continuous, instantaneous measurements of atmospheric aerosol radiation le ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  9. High Efficiency Cyclone Separator for Sub-micron Particle Concentration

    SBC: MAINSTREAM ENGINEERING CORPORATION            Topic: DTRA182006

    The Radionuclide Aerosol Sampler and Analyzer (RASA) is a completely automated monitoring system that detects airborne radioactive particles and is one of the detection systems used in the U.S. and global International Monitoring System (IMS) of the Comprehensive Nuclear Test Ban Treaty Organization (CTBTO) to detect nuclear detonations. Mainstream proposes develop a high-efficiency cyclone separa ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency
  10. Materials Engineering of Alkali Halide and Rare Earth Halide Scintillators

    SBC: Radiation Monitoring Devices, Inc.            Topic: DTRA182007

    Scintillators are the major components of radiation detection systems used in identification of Special Nuclear Materials.One of their key properties is the energy resolution (ER) that links directly to isotope identification capabilities.Typically the ER for scintillators varies from 3% (at 662 keV, FWHM) for the best materials to more common 6-7%.At the moment, many detectors use latter material ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency

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