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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

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. UAV Guidance on GPUs by Nominal Belief-State Optimization

    SBC: Apolent Corporation            Topic: AF09BT06

    We apply the theory of partially observable Markov decision processes (POMDPs) to the design of guidance algorithms for controlling the motion of unmanned aerial vehicles (UAVs) with on-board sensors for tracking multiple ground targets. While POMDPs are intractable to optimize exactly, principled approximation methods can be devised based on Bellman’s principle. We introduce a new approximation ...

    STTR Phase I 2010 Department of DefenseAir Force
  2. Advanced Computational Methods for Study of Electromagnetic Compatibility

    SBC: MATHEMATICAL SYSTEMS & SOLUTIONS, INC.            Topic: AF09BT13

    The present text proposes development of efficient, accurate and rapidly-convergent algorithms for the simulation of propagation and scattering of electromagnetic fields within and around structures that (i) Consist of complex combinations of penetrable materials as well as perfect and imperfect conductors, and, (ii) Possess complex geometrical characteristics, including open surfaces, metallic c ...

    STTR Phase I 2010 Department of DefenseAir Force
  3. Aerosol Jet Printing of Single-Wall Carbon Nanotube Transistors on Plastic Substrate

    SBC: OPTOMEC, INC.            Topic: AF09BT26

    Aerosol Jet printing is proposed as a method for printing large area, CNT-based transistor arrays on flexible substrate. The teaming relationship combines expertise in high resolution printing along with device and materials expertise. All semiconductor, dielectric, and conductive materials comprising the TFTs will be solution processed and printed with a single machine. This will lead to a cos ...

    STTR Phase I 2010 Department of DefenseAir Force
  4. Innovative Combat Simulation to Craft Tomorrow’s UAV Operational Doctrine

    SBC: HPS Simulations            Topic: AF09BT31

    Existing computer combat wargames offer a sophisticated and high fidelity base platform for accurately modeling standard combat scenarios. However, the rapid development of UAV capabilities in terms of sizes, weapons, sensors, communications and flight ability is presenting a new challenge for these simulations. At the same time, the general state of world affairs is changing such that the likeli ...

    STTR Phase I 2010 Department of DefenseAir Force
  5. High Energy Density Nanocomposite Based on Tailored Surface Chemistry

    SBC: TPL, INC            Topic: AF09BT05

    High energy density capacitors are required for practical implementation of GW-class pulse power loads. In response to this need, TPL has established unique dielectric and capacitor capabilities. Revolutionary materials, designs and manufacturing process have been developed for power sources that have potential for an order of magnitude reduction in mass and volume relative to current commercial ...

    STTR Phase I 2010 Department of DefenseAir Force
  6. Novel protocol for Quantum Key Distribution

    SBC: G. A. Tyler Associates, Inc.            Topic: AF09BT21

    The proposed effort develops the understanding required to assess the utility of using OAM states and quantum entanglement as a novel protocol for quantum key distribution for propagation through an aberrating medium such as the atmosphere. In addition a conceptual design of an experiment that is appropriate to further the development of this capability will be developed on the proposed Phase I e ...

    STTR Phase I 2010 Department of DefenseAir Force
  7. Modeling Auditory Pattern Recognition and Learning with Gradient Frequency Neural Oscillator Networks

    SBC: OSCILLOSCAPE, LLC            Topic: AF09BT12

    This Small Business Technology Transfer research project addresses the perception and learning of complex sound patterns within complex auditory scenes. The objective is to model auditory signal processing, pattern recognition and learning in the human auditory system. Our novel approach simulates the nonlinear signal processing that has been observed in auditory physiology. By mimicking functiona ...

    STTR Phase I 2010 Department of DefenseAir Force
  8. Efficient Propagators and Gravity Models in non-Cartesian Coordinate Systems

    SBC: NUMERICA CORPORATION            Topic: AF09BT02

    Accurate and timely surveillance of objects in the near-Earth space environment is becoming increasingly critical to US national security. One of the main difficulties in this domain is efficiently and accurately modeling trajectories of the vast number of objects in orbit around the Earth. The orbital trajectory of a single object is typically modeled as a second-order system of equations which ...

    STTR Phase I 2010 Department of DefenseAir Force
  9. 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
  10. Space-Time Signal Processing for Detecting and Classifying Distributed Attacks in Networks

    SBC: NUMERICA CORPORATION            Topic: AF09BT09

    A mathematical framework for detection and classification of weak, distributed patterns on computer networks is proposed. The framework will provide rigorous methods for understanding performance bounds and optimality of intrusion detection methods, while also providing concrete and implementable algorithms. The algorithms will find immediate application in cyber-security efforts, as well as mor ...

    STTR Phase I 2010 Department of DefenseAir Force
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