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Award Data

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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. NAVAL INTEGRATED FIRE CONTROL COUNTER AIR (NIFC-CA)

    SBC: Aptima, Inc.            Topic: N09T007

    The Navy faces a significant challenge to its dominance of sea and air given the Anti-Access Area-Denial (A2AD) capabilities of major powers. The Navy's response, in part, is to implement technical capabilities that enable platforms to coordinate in new ways to execute offensive and defensive actions at very long range. While the Navy finalizes this Naval Integrated Fire Control-Counter Air (NIFC- ...

    STTR Phase II 2016 Department of DefenseNavy
  2. In-Air E-field Sensor for Airborne Applications

    SBC: White River Technologies Inc.            Topic: N15AT004

    The U.S. Navy is seeking new technologies and platforms to advance airborne anti-submarine warfare (ASW) and related maritime surveillance. Current magnetic anomaly detection (MAD) sensors, such as the latest versions of atomic magnetometers, are capable of very low noise operation. However, the performance of these sensors can be limited by the geomagnetic noise environment more so than by eithe ...

    STTR Phase II 2016 Department of DefenseNavy
  3. Vacuum Integrated System for Ion Trapping

    SBC: Coldquanta, Inc.            Topic: A15AT009

    We propose to develop a compact, integrated ion trap quantum system for quantum sensor, timekeeping, and computing applications. To do so, we leverage ColdQuantas expertise in miniature ultra-high vacuum (UHV) and atom chip technology and Duke Universitys expertise in microfabricated surface ion traps and quantum information processing experiments. We will produce a manufacturable, commercializa ...

    STTR Phase II 2016 Department of DefenseArmy
  4. Compressive Sensing Flash IR 3D Imager

    SBC: Physical Sciences Inc.            Topic: A15AT007

    Physical Sciences Inc. in collaboration with Colorado State University proposes to develop a compact infrared flash 3D imaging sensor employing compressive sensing (CS) approaches. The CS 3D sensor offers a combination of high range resolution (10 cm), high point cloud density (6464 format), and fast 3D image frame rates (10 Hz) in a low cost, compact form factor employing commercial off the shelf ...

    STTR Phase II 2016 Department of DefenseArmy
  5. Hybrid Battery/Supercapacitor Energy Storage Device

    SBC: ADA Technologies, Inc.            Topic: A15AT010

    ADA Technologies, Inc. (ADA) and Dr. Massoud Pedram at the University of Southern California (USC) have successfully completed a Phase I STTR effort for the development of a lithium ion (Li-ion)/ supercapacitor hybrid electrical energy storage system (HEESS) to afford pulse power characteristics (projected ~10 kW/kg) in a high energy system (100-150 Wh/kg). The system is enabled via a constant cur ...

    STTR Phase II 2016 Department of DefenseArmy
  6. An Ultra-Compact Low-Power THz Radio SoC with On-Chip Antenna and Energy Harvesting

    SBC: Digital Analog Integration, Inc.            Topic: A15AT005

    There is an unmet demand for ultra-low-power, ultra-compact and low-cost radios to address emerging sensing and communication needs for military and commercial applications such as IoT/IoE. To overcome the limitations in existing bulky and power hungry radios, we propose a disruptive solution by integration of a nano-scaled THz transceiver, on-chip antenna, and energy harvesting circuits in a form ...

    STTR Phase II 2016 Department of DefenseArmy
  7. Computational Methods for Dynamic Scene Reconstruction

    SBC: Near Earth Autonomy, Inc.            Topic: N16AT017

    Military and civilian agencies can benefit from systems that create 4D, spatio-temporal representations of dynamic scenes for target tracking, law enforcement, crowd control, disaster recovery, etc. Proliferation of imaging sensors such as surveillance cameras, car- and body-mounted cameras, and cell phones, provides the opportunity for reconstructing a dynamic scene in a very inexpensive way. Tod ...

    STTR Phase I 2016 Department of DefenseNavy
  8. Computational Methods for Dynamic Scene Reconstruction

    SBC: Systems & Technology Research LLC            Topic: N16AT017

    The ubiquity of high-resolution imagery and video taken by surveillance cameras, handheld cameras, vehicle-mounted cameras, and airborne cameras is creating a rich source of dynamic data that offers opportunities for effectively solving defense, security and law enforcement problems. But in order to develop effective scene and activity understanding applications we must develop robust, accurate an ...

    STTR Phase I 2016 Department of DefenseNavy
  9. 3D Acoustic Model for Geometrically Constrained Environments

    SBC: SOFAR Acoustics, LLC            Topic: N16AT018

    This effort is focused on establishing an important capability of providing a comprehensive, advanced model of the three-dimensional acoustic field, including propagation, scattering, and reverberation in complex and dynamic environments. This new 3D acoustic model would feed the Navys sonar performance estimation tool with a purpose of addressing the optimal placement of sensors in complicated en ...

    STTR Phase I 2016 Department of DefenseNavy
  10. Embedded Space Analytics

    SBC: INFOBEYOND TECHNOLOGY, LLC            Topic: N16AT020

    Navy needs a real-time graph embedding tool for analyzing huge graphs (millions of nodes and billions of edges) from diverse sources. However, current approaches cannot provide dynamic and scalable graph analytics to show the military value of tactical data. In this project, InfoBeyond advocates EStreaming (Embedding & Streaming) for scalable and efficient graph streaming. EStreaming promotes big ...

    STTR Phase I 2016 Department of DefenseNavy
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