You are here
Award Data
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.
-
SANDGT: a Stochastic Adaptive Nonlinear Differential Game Tool for Persistent and Risk-Averse Space Situation Awareness
SBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: AF12BT09ABSTRACT: Space defense analysis and mission trade studies are vital for the success of space-borne military operation. In this proposal, Intelligent Fusion Technology, Inc (IFT) and its partners propose a decision support tool called stochastic adaptive nonlinear differential game tool (SANDGT) for persistent and risk-advert space situation awareness. The main idea of our approach is to design a ...
STTR Phase I 2013 Department of DefenseAir Force -
Robust Decision Tool for Persistent Space Self Defense Systems
SBC: Intelligent Automation, Inc. Topic: AF12BT09ABSTRACT: Intelligent Automation, Inc. (IAI) proposes to apply a game theoretic approach to design a robust decision making tool for self defense space systems that integrates realistic system models, distributed sensor management, advanced estimation, and tracking techniques. Our approach uses innovative game models to track space objects, analyze their orbits, and provide decision tools for the ...
STTR Phase I 2013 Department of DefenseAir Force -
SLACA: Self-Learned Agents for Collective Aerial Video Analysis
SBC: Intelligent Automation, Inc. Topic: AF18BT002For this STTR Intelligent Automation, Inc. teams with researchers from University of Maryland, College Park to develop SLA, a self-learned agent system for collective human activities and events in aerial videos. Aerial video analytics often faces challenges such as low resolution, shadows, varied spatio-temporal dynamics, etc. The traditional methods depending on the object detection and tracking ...
STTR Phase I 2019 Department of DefenseAir Force -
Low-Energy Adiabatic Circuits for Space Applications
SBC: SIGNAL SOLUTIONS, LLC Topic: AF18BT013Adiabatic logic-based energy-conserving circuits have potential to significantly improve energy efficiency. Adiabatic circuits recycle charge stored in load capacitance resulting in lower power dissipation as compared to conventional CMOS. However, these circuits have only targeted low-frequency operations. Research is needed to develop adiabatic logic circuits for high performance applications wi ...
STTR Phase I 2019 Department of DefenseAir Force -
Optimization of Sodium Guide Star Return using Polarization and/or Modulation Control
SBC: Applied Optimization, Inc Topic: AF19AT008The research objective of the proposed work is to increase the efficiency of the laser return of a Sodium Guide Star Laser (SGSL) reflected off the sodium layer for increased reliability and applicability of the artificial guide star technique. During Phase I, we will demonstrate the concept of maximizing the SGSL signal returns using numerical simulations that account for the effects of atmospher ...
STTR Phase I 2019 Department of DefenseAir Force -
Tunable bioinspired spatially-varying random photonic crystals
SBC: Applied Optimization, Inc Topic: AF19AT017The research objective is to develop a tunable spatially-varying photonic crystal (SVPC) to achieve the optical propagation properties (reflection and transmission) of the light through the designed structure for the visible and near IR-bands. The light from this SVPC will be able to focus and bend as a function of the spatial variation of the refractive index, input angle, and state of polarizati ...
STTR Phase I 2019 Department of DefenseAir Force -
Lasers Based on Gas Filled Hollow-Core Photonic Crystal Fibers
SBC: IRFLEX CORP Topic: AF18BT015Current continuous wave (CW) and pulse mid-wave infrared (MWIR) lasers have design and performance limitations that constrain their usability in some critical Air Force applications. There is an important need to create a new class of MWIR laser sources with less drawbacks and higher pulse energies and CW powers. The proposed work will demonstrate the technical feasibility of an innovative MWIR la ...
STTR Phase I 2019 Department of DefenseAir Force -
PRIME: PRimary Integration and Maturation of EGS
SBC: THE DESIGN KNOWLEDGE COMPANY LLC Topic: AF18BT012Legacy satellite command and control capabilities and their related telemetry operate in a largely stove piped framework. Satellites are still commanded, controlled, and communicated with their ground station in a specific constellation structure. Each ground station is unique to a given constellation and the communications and telemetry are aligned to the specific constellation, underscoring an o ...
STTR Phase I 2019 Department of DefenseAir Force -
Electronically Dimmable Eye Protection Devices (EDEPD)
SBC: NANOSONIC INC. Topic: AF18BT003Through the proposed Phase I Air Force STTR program, NanoSonic and Virginia Tech will demonstrate metal organic framework materials and electrospray fabrication methods for the manufacture of eye protection devices that are capable of controlling the amount of light transmitted through the device. The objective of this program is to 1) increase the dynamic range and speed of electronically switche ...
STTR Phase I 2019 Department of DefenseAir Force -
Innovations in Physical Modeling and Statistical Exploitation of Electromagnetic Target Signatures
SBC: Five Focal LLC Topic: AF12BT06ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...
STTR Phase I 2013 Department of DefenseAir Force