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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. Dim Target Extraction and Conjoint Tracking (DTECT) Enhancements for Missile Defense Applications

    SBC: TOYON RESEARCH CORPORATION            Topic: MDA12T004

    Overhead Persistent Infrared (OPIR) platforms observe challenging threat and scene phenomenology. Toyon Research Corporation developed an image processing framework for clutter estimation/suppression and track-before-detect to jointly detect and track targets. The Target Extraction and Conjoint Tracking application, developed under initial Phase II funding and demonstrated using real-world data so ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  2. Portable System with Li Foil MWPC Neutron Detectors

    SBC: RADIATION DETECTION TECHNOLOGIES, INC.            Topic: DTRA14B005

    At the completion of the research and development effort a Li-foil multi-wire proportional counter (MWPC) neutron detector with more than 625-cm2 of active area will be included in a portable radiation detection system. The system is expected to outperform the standards set by the ANSI N42.53 standards, and gamma-ray rejection ratio (GRR) of 1.0x10-8 or better. A gamma-ray spectrometer for isotope ...

    STTR Phase II 2017 Department of DefenseDefense Threat Reduction Agency
  3. Deep Learning with Whole-Scene Contextual Reasoning for Target Characterization

    SBC: EXOANALYTIC SOLUTIONS INC            Topic: MDA15T001

    ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  4. System of Systems Control Interactions

    SBC: GTD Unlimited LLC            Topic: MDA15T002

    In this research effort, the GTD team will design tools for efficiently specifying, representing, and analyzing the interactions between control systems in System of Systems (SoS). Three approaches will be considered and integrated. The first two are based in the rigorous application of H_8 control theory to the SoS design problem. The third will use complexity measures to generate a metric that c ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  5. Advanced Hit Detection Systems

    SBC: FREENT TECHNOLOGIES, INC.            Topic: MDA13015

    FreEnt Technologies, Inc. (FreEnt) and Johns Hopkins Universitys Applied Physics Laboratory (APL) are proposing a multiple-hit detection sensor called the Optical Lethality Measurement System (OLMS). This system is based on the Planar Optical Penetration Sensor (POPS) technology (originally developed and patented by APL) and prior art associated with the Blast Initiation Detector (BID). The BID is ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  6. veriScan

    SBC: SENTAR, INC.            Topic: OSD06SP2

    The goal of the Information Assurance Run-time Auditing (IARA) Phase I project was to provide a framework that promotes the specification of software system monitoring, audit, analysis, and threat mitigation capabilities in large scale software intensive systems (LSSIS). IARA was designed to promote software assurance by incorporating novel tools that help certify the operations of untrusted soft ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  7. RF-IR Data Fusion

    SBC: DECIBEL RESEARCH, INC.            Topic: MDA12T002

    deciBel Research, Inc. and the Electrical Engineering Department at the University of Mississippi - the deciBel Team - proposes to continue to develop and mature threat physics based classification, track association/track correlation, and dynamic attributes determination threat characterization algorithms that effectively and efficiently fuse data from multiple sensors. The classification algorit ...

    STTR Phase II 2017 Department of DefenseMissile Defense Agency
  8. An Embedded Health Monitoring System for Determining Readiness of Electronic Components

    SBC: NOKOMIS INC            Topic: MDA14T001

    The MDA is in need of a robust, holistic Electronics Health Monitoring (EHM) solution that can address mission readiness concerns. Nokomis solution to this problem provides unique information to operators and maintainers and a more complete picture of component readiness. Nokomis novel methodologies for determining device health, whereby changes in unintended RF emissions signatures are leverage ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  9. Microelectronics Component Adhesive Selection and Design Rules for Failure Avoidance

    SBC: CFD RESEARCH CORPORATION            Topic: MDA14T002

    Thermally induced fatigue and residual stress introduced during fabrication are sources of failure in microelectronics, which raises reliability concerns for MDA and its system integrators. CFDRC has teamed with experts in the reliability of microelectronics packaging to develop a physics based modeling and testing protocol to correlate material properties and thermal loading conditions to stress ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  10. Decision Making under Uncertainty

    SBC: GCAS, Inc.            Topic: MDA13T001

    Our proposed second order uncertainty (SOU) product is a decision making software solution that addresses the problem of providing accurate and precisely defined decision courses of action (COAs) of complex, time-constrained problems in a fraction of the time required by alternative methods striving to achieve the same level of precision. Complex decision situations can deal with large volume of ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
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