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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Reverberation Mitigation of Speech

    SBC: IN-DEPTH ENGINEERING CORPORATION            Topic: AF15AT17

    Speech data corrupted by reverberation, especially in combination with noise, has a drastically negative effect on the performance of speaker identification algorithms. Current approaches to the removal of reverb and noise rely on specific knowledge of room characteristics causing the reverb.The team of In-Depth Engineering and the University of Maryland propose to apply an innovative, generalized ...

    STTR Phase II 2016 Department of DefenseAir Force
  2. Resilient Directional Mesh Enhanced Tactical Airborne Networks

    SBC: FIRST RF CORPORATION            Topic: AF17BT003

    In this Phase II effort, FIRST RF, partnered with UCSD, will demonstrate array technology enabling highly directive multi-beam TCDL communications using phased arrays. The system expands upon prior SBIR development programs by enabling additional simultaneous full duplex data links by utilizing a novel array topology and beam forming technology allowing for the maximized SWaP solution for the disa ...

    STTR Phase I 2018 Department of DefenseAir Force
  3. Resilient Directional Mesh Enhanced Tactical Airborne Networks

    SBC: FIRST RF CORPORATION            Topic: AF17BT003

    FIRST RF will lead the Phase II effort and will leverage the system architecture of the MAINLINE system and integrate multifunctional SiGe integrated circuits (ICs) developed by The University of California San Diego under the supervision of Prof. Gabriel Rebeiz. The SiGe devices developed during the Phase II effort will significantly reduce the power requirements of the MAINLINE system allowing f ...

    STTR Phase II 2019 Department of DefenseAir Force
  4. Real-Time Stress Biomarker Sensor

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: AF18CT001

    Research is currently identifying new biochemical markers to help monitor cognition and stress in the human body and enhance human performance. Traditional biometric markers like heart rate, temperature, oxygen partial pressure, blood glucose, electrolyte concentration, and others have been correlated with cognition and stress states. However, the correlation is indirect. Molecular biomarkers with ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Realistic State and Measurement Error Uncertainty Computation and Propagation for Space Surveillance and Reconnaissance

    SBC: NUMERICA CORPORATION            Topic: AF09BT11

    Space surveillance is the component of space situational awareness focused on the detection of resident space objects (RSOs) and the use of multisource data to track and identify space objects. While the propagation of the states of RSOs has been investigated extensively over the last fifty years, the correct propagation of their covariance or the more general (non-Gaussian) probability distribut ...

    STTR Phase I 2010 Department of DefenseAir Force
  6. Rapid Discovery of Evasive Satellite Behaviors

    SBC: DATA FUSION & NEURAL NETWORKS, LLC            Topic: AF17CT02

    The DF&NN team has significant experience in delivering Space Domain Awareness tools. These tools will be applied to 2 years of GEO ephemeris data of active satellites at DF&NN. The RDESB prototype will reduce the risk in rapidly discovering the behavioral patterns of potentially evasive and/or ambiguous active resident space objects. RDESB will detect non-Keplerian behavior in ephemeris data for ...

    STTR Phase I 2018 Department of DefenseAir Force
  7. Rapid Discovery of Evasive Satellite Behaviors

    SBC: DATA FUSION & NEURAL NETWORKS, LLC            Topic: AF17CT02

    The problem addressed in this effort is to automatically learn historical ephemeris space catalog time, position, and velocity entity track update error uncertainties (i.e., without track error covariances) and to automatically (e.g., without expert event labeling) produce: – unmodeled non-gravitational space catalog update flags – abnormal unmodeled catalog update flags with abnorma ...

    STTR Phase II 2019 Department of DefenseAir Force
  8. Prototype for Rapid Reconstitution for Ground-based Space Situational Awareness Capability for Near-geosynchronous Objects

    SBC: DFM Engineering Inc            Topic: AF16AT05

    We propose to research the feasibility of rapidly reconstituting a ground based sensor system for space situational awareness with a large fraction of the capability of the GEODSS sensor system. This system can be deployed quickly to a GEODSS site where ...

    STTR Phase I 2016 Department of DefenseAir Force
  9. Probabilistic Pharmacokinetic Models for Diagnosis, Prognosis, and Personalized Treatment

    SBC: BARRON ASSOCIATES, INC.            Topic: DHA17B003

    Clinicians have recognized that the nature of diseases can be highly individual resulting in different patterns of onset and progression. In turn, the response of an individual to drugs is also unique and governed by a variety of factors. Pharmacokinetic models represent the movement of a drug through the body, and personalized pharmacokinetic models aim to capture the unique responses of specific ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  10. Principled Design of an Augmented Reality Trainer for Medics

    SBC: UNVEIL LLC            Topic: DHP17A003

    Augmented reality (AR) offers the ability to enhance existing combat medic training by including perceptual cues and adaptive training elements to traditional simulation-based training using manikins. Unveil has developed a training system called the Macrocognitive AR Trainer (MART). MART is designed to foster the development of macrocognitive skills (e.g., sensemaking, assessment skills, mental m ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
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