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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. ADAPTIVE CONTROL NONLINEAR MULTI-AXIS VIBRATION

    SBC: Synergistic Technologies, Inc.            Topic: N/A

    N/A

    SBIR Phase I 1987 Department of DefenseArmy
  2. ADAPTIVE RF POWER AMPLIFIER FOR AN ADAPTIVE JAMMER

    SBC: Digital Radio Corp            Topic: N/A

    THIS PROPOSAL DESCRIBES THE START OF AN EFFORT TO DEVELOP AN ADAPTIVE JAMMER SYSTEM. THERE ARE SEVERAL TECHNICAL PROBLEMS TO SOLVE BEFORE THE ADAPTIVE JAMMER CAN BE DEVELOPED. ONE DIFFICULTY ENCOUNTERED WITH THE ADAPTIVE JAMMER SYSTEM CAN BE SOLVED BY DESIGNING THE EXCITER TO PROVIDE THE REQUIRED SIGNAL TO THE RF AMPLIFIER. HOWEVER, THE RF POWER AMPLIFIER PROBLEM HAS NOT BEEN SOLVED. THE EFFORT IN ...

    SBIR Phase II 1987 Department of DefenseArmy
  3. ADAPTIVE STOCHASTIC CONTENT-ADDRESSABLE MEMORY

    SBC: Laguna Research Laboratory            Topic: N/A

    IT IS PROPOSED TO EXPLORE THE FEASIBILITY OF ADDING ADAPTIVE AND STOCHASTIC FEATURES TO A CONTENT-ADDRESSABLE MEMORY (CAM) IN SUCH A MANNER THAT THE DEVICE BECOMES CAPABLE OF LEARNING FROM INSTRUCTION AND EXPERIENCE. THE ALGORITHM OF THE ADAPTIVE STOCHASTIC CONTENTADDRESSABLE MEMORY (ASCAM) IS THE SAME AS THAT OF ADAPTIVE NEURAL NETWORKS, VIZ., ITERATIVE THRESHOLDED MATRIX-BINARY VECTOR MULTIPLICA ...

    SBIR Phase II 1987 Department of DefenseDefense Advanced Research Projects Agency
  4. Advanced Comprehensive Analysis Tool for Emerging Vertical Lift Configurations

    SBC: ADVANCED ROTORCRAFT TECHNOLOGY, INC.            Topic: A19001

    Efficient and accurate analysis is crucial for timely and cost-effective development of emerging vertical lift (EVL), including eVTOL and hybrid configurations. Due to similarities between conventional rotorcraft and EVL, many of the critical technologies for analysis of EVL are available in existing rotorcraft comprehensive analysis tools. However, existing rotorcraft analysis tools are tailored ...

    SBIR Phase I 2019 Department of DefenseArmy
  5. Advanced Electric Motor Technology for Hybrid More Electric/Micro-Turbine Architectures

    SBC: TOYON RESEARCH CORPORATION            Topic: A17002

    There is growing interest in the possibility of turboelectric propulsion for aircraft primarily due to the potential for significant fuel savings. This is enabled by the decoupling of the turbine engine and propulsor. The turbine’s shaft speed can then be optimized for power production while the shaft speed of the propulsor fan can be independently optimized for efficient thrust. Other advantage ...

    SBIR Phase II 2019 Department of DefenseArmy
  6. Advanced Fire Control Radar for Group 1 and 2 Unmanned Surveillance Systems

    SBC: Physical Optics Corporation            Topic: A17126

    To address the Army’s need for a platform-agnostic, low-SWaP-C fire control radar, Physical Optics Corporation (POC) proposes to advance the development of the Advanced Fire Control Radar for Group 1 and 2 Unmanned Surveillance (ARGUS) systems proven feasible in Phase I. This system is based on integration of patch antenna arrays for transmit and receive capabilities tied into low-power COTS pro ...

    SBIR Phase II 2019 Department of DefenseArmy
  7. ADVANCED MILLIMETER HIGH EFFICIENCY GUNN OSCILLATOR SENSOR

    SBC: Myk Technology Inc            Topic: N/A

    N/A

    SBIR Phase I 1987 Department of DefenseArmy
  8. ADVANCED TRACKING AND ADAPTIVE POINTING CONTROL MODULE

    SBC: Integrated Systems I            Topic: N/A

    N/A

    SBIR Phase I 1987 Department of DefenseArmy
  9. Advanced UAV and Mortar Target Detection and Tracking Algorithms for Low Signal-to-Noise Ratio and Cluttered Environments

    SBC: Arete Associates            Topic: A17102

    In this work, Areté Associates proposes to extend its long history of tracking and detection solutions to meet the challenge of tracking small and dim targets in high-clutter environments using a mid-wave infrared (MWIR) sensor coupled with innovative detection algorithms and processing. We present a track-before-detect, signal-integration approach that merges the functionality of Areté’s prov ...

    SBIR Phase II 2019 Department of DefenseArmy
  10. Aggressive AI Self-Learning Defense Network

    SBC: Physical Optics Corporation            Topic: A18118

    To address the Army’s need for an Artificial-Intelligence-based Automated Fire Control System, Physical Optics Corporation (POC) proposes to develop a new Aggressive AI Self-Learning Defense Network (ASSAILNET) technology. Specifically, the innovation in the network architecture, the network node interface design, and the network training strategy will enable each AI node in the network to inter ...

    SBIR Phase I 2019 Department of DefenseArmy
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