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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. Hypersonic Experimental Aerothermoelastic Test (HEAT)

    SBC: Global Aerospace Corporation            Topic: AF16AT24

    The Air Force is interested in developing technology that would enable long duration hypersonic flight with reusable aircraft. Hypersonic flow presents many design challenges that can be encapsulated into an aerothermoelastic problem, i.e., a complex dyn...

    STTR Phase I 2016 Department of DefenseAir Force
  2. Higher Order Mesh Generation for Simulation of Complex Systems

    SBC: HYPERCOMP INC            Topic: AF14AT07

    ABSTRACT: We propose here a robust production-level high-order mesh generation software for complex geometries. High order accurate numerical methods are becoming increasingly popular in the present time and have demonstrated a great measure of success in efficient error-controlled simulations for a wide variety of important problems. A curved geometry and mesh generation system is essential in m ...

    STTR Phase I 2015 Department of DefenseAir Force
  3. Higher Order Mesh Generation for Simulation of Complex Systems

    SBC: HYPERCOMP INC            Topic: AF14AT07

    In this program, HyPerComp and University of Michigan have teamedtogether to develop a high-order grid generator for Euler and viscousmeshes. The grid generator is based on HyPerComps successful generalpurpose CAD2Mesh software and is being integrated with HyPerCompsHDphysics and U. Michigans XFlow DG high-order solvers. High-order gridgeneration methods are being implemented to accurately capture ...

    STTR Phase II 2016 Department of DefenseAir Force
  4. Tool to Predict High-Power Electromagnetic Effects on Mobile Targets

    SBC: XL SCIENTIFIC LLC            Topic: AF15AT05

    ABSTRACT: XL Scientific LLC will leverage over a half a century of High Power Microwave (HPM) Effects Test and Modeling experience to develop an integrated DREAM2 toolkit that models the vulnerability and susceptibility of electronic systems, subsystems and components to directed energy (DE) HPM weapons. The analysis toolkit developed will center on three essential modules, critical in a full asse ...

    STTR Phase I 2015 Department of DefenseAir Force
  5. Passive Radiometry Based Aerial Navigation

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: AF15AT26

    ABSTRACT: The sensor system requirements for image based navigation that uses passive millimeter wave imaging radiometry will be established based on existing RelNav and AbsNav algorithms that were demonstrated to work in multi-modal imagery. Existing flight data will be used to simulate the PMMW imagery for these tests. A preliminary design of such a PMMW system will be created. Under Phase-II th ...

    STTR Phase I 2015 Department of DefenseAir Force
  6. Tool to Predict High-Power Electromagnetic Effects on Mobile Targets

    SBC: Andro Computational Solutions LLC            Topic: AF15AT05

    ABSTRACT: The focus of this research will be on developing a model and associated computational tool called HPEM-Expert that is consistent with the Directed RF Energy Assessment Model 2, (DREAM2), which describes and predicts the effects of a high-power electromagnetic (HPEM) signal on a mobile target, to improve on the existing DREAM tool. Our approach will be to develop a modeling and simulation ...

    STTR Phase I 2015 Department of DefenseAir Force
  7. Multi-Modal Sensor Fusion Utilizing Statistical Dependence and Compressive Sampling

    SBC: Andro Computational Solutions LLC            Topic: AF15AT16

    ABSTRACT: Our goal is to develop theoretical frameworks for efficient multisensor fusion of high dimensional data for target detection localization and tracking. We plan to develop novel algorithms based upon our previous research on copula theory to perform inference with multi-modal correlated sensor data. Copulas describes the dependence between random variables and allow one to optimally explo ...

    STTR Phase I 2015 Department of DefenseAir Force
  8. Adaptive Cyber-secure Cross-layer Communications-Classification System (AC4S): Cyber Superiority for Air Force Combatant Commanders Using Cyber-domain

    SBC: Andro Computational Solutions LLC            Topic: AF08BT06

    ABSTRACT: In this effort selected SBIR technologies will be matured and merged to establish the Adaptive Cyber-secure Cross-layer Communications-Classification System (AC4S) for enhancing the throughput, spectral efficiency, speed, reliability and security performance of software defined radio (SDR) communication networks. One of the core technologies in the AC4S architecture is the Cyber Superior ...

    STTR Phase II 2016 Department of DefenseAir Force
  9. Adaptive Cyber-secure Cross-layer Communications-Classification System (AC4S): Dynamic Cross-layer Routing Using Cognitive Spectrum Allocation (AXL-RO

    SBC: Andro Computational Solutions LLC            Topic: AF10BT09

    ABSTRACT: In this effort selected SBIR technologies will be matured and merged to establish the Adaptive Cyber-secure Cross-layer Communications-Classification System (AC4S) for enhancing the throughput, spectral efficiency, speed, reliability and security performance of software defined radio (SDR) communication networks. One of the core technologies that forms the basis of AC4S is the AXL-ROSA s ...

    STTR Phase II 2016 Department of DefenseAir Force
  10. High Quality/Low Dimension Data for Sensor Integration

    SBC: Andro Computational Solutions LLC            Topic: AF15AT16

    Novel algorithms were developed for ecient multi-sensor fusion of correlated high-dimensional data to support target detection. In our compressive sensing framework, high-dimensional data is compressed using low dimensional random projection matrices. When the high-dimensional data exhibits low-dimensional structures, this scheme is capable of capturing all the significant informative with fewer r ...

    STTR Phase II 2016 Department of DefenseAir Force
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