You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. Standoff Coherent Optical Detection of Acoustic Signals (SCODAS)

    SBC: Intelligent Automation, Inc.            Topic: AF12BT02

    ABSTRACT: Detection of clandestine tunnels and underground facilities is a continuing interest of the US DoD and Customs and Border Protection. Research continues in an attempt to find functional and reliable sensing methods, including seismic methods. Dynamic activity in tunnels emits mechanical energy that propagates away in seismic waves. Resulting ground vibrations can be measured at offset d ...

    STTR Phase I 2013 Department of DefenseAir Force
  2. SANDGT: a Stochastic Adaptive Nonlinear Differential Game Tool for Persistent and Risk-Averse Space Situation Awareness

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF12BT09

    ABSTRACT: 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
  3. Robust Decision Tool for Persistent Space Self Defense Systems

    SBC: Intelligent Automation, Inc.            Topic: AF12BT09

    ABSTRACT: 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
  4. Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite Behaviors

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF17CT02

    Space superiority requires space protection and space situational awareness (SSA), which rely on rapid and accurate space object behavioral and operational intent discovery. The focus of this project is to develop a stochastic approach for rapid discovery of evasive satellite behaviors. Designing the innovative decision support tool has numerous challenges: (i) partial observable actions; (ii) eva ...

    STTR Phase I 2018 Department of DefenseAir Force
  5. HASLOC: Hierarchical And-Or Structures forLocalization and Object Recognition

    SBC: Intelligent Automation, Inc.            Topic: AF18AT014

    Target detection and recognition is a challenging problem because of changes in appearance, viewing direction, occlusion and other covariates. Systems that can accurately and efficiently detect and track objects can provide several benefits in surveillance, monitoring and other applications. As part of this effort, we propose to develop a robust learning-based approach to detect, track and recogni ...

    STTR Phase I 2018 Department of DefenseAir Force
  6. SLACA: Self-Learned Agents for Collective Aerial Video Analysis

    SBC: Intelligent Automation, Inc.            Topic: AF18BT002

    For 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
  7. PRIME: PRimary Integration and Maturation of EGS

    SBC: THE DESIGN KNOWLEDGE COMPANY LLC            Topic: AF18BT012

    Legacy 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
  8. Optimization of Sodium Guide Star Return using Polarization and/or Modulation Control

    SBC: APPLIED OPTIMIZATION, INC.            Topic: AF19AT008

    The 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
  9. Tunable bioinspired spatially-varying random photonic crystals

    SBC: APPLIED OPTIMIZATION, INC.            Topic: AF19AT017

    The 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
  10. Innovations in Physical Modeling and Statistical Exploitation of Electromagnetic Target Signatures

    SBC: Five Focal LLC            Topic: AF12BT06

    ABSTRACT: 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
US Flag An Official Website of the United States Government