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The Award database is continually updated throughout the year. As a result, data for the given year is not complete until April of the following year. Annual Reports data is a snapshot of agency reported information for that year and hence might look different from the live data in the Awards Information charts.

  1. Advanced Algorithms for Next Generation Wide Field-of-View (WFOV) EO/IR Staring Sensor Exploitation

    SBC: Frontier Technology Inc.            Topic: AF112-077

    ABSTRACT: Frontier Technology Inc, (FTI) proposes to improve advanced algorithms in hyper-temporal imaging (HTI) to provide new capabilities in target discrimination in challenging environmental conditions. Specifically, we propose to develop a computationally efficient algorithm for target detection and discrimination under optically obscured geometries and in closely spaced formations (within ...

    SBIR Phase I 2012 Department of DefenseAir Force
  2. Advanced Algorithms for Space-Based Next-Generation Infrared Sensor Exploitation

    SBC: Frontier Technology Inc.            Topic: AF121-085

    ABSTRACT: Discrimination and tracking of low-observable targets within a cluttered viewing environment are major challenges facing the next generation of space-based wide-field-of-view (WFOV) electro optical visible and infrared (EO-IR) sensors. Low observable targets may consist of multiple, closely-spaced objects that are poorly resolved or non-resolved, objects whose signature is comparable t ...

    SBIR Phase I 2012 Department of DefenseAir Force
  3. Automation of Satellite On-orbit Checkout and Calibration Process

    SBC: Frontier Technology Inc.            Topic: AF121-087

    ABSTRACT: From the time that they are launched, space-based electro-optical infrared sensors are vulnerable to a wide variety of external threats and changes in on-board operating conditions (either forced by naturally occurring conditions or by man-made interference) that degrade the sensor performance so that it cannot provide calibrated data within the needed timelines. The focus of this work ...

    SBIR Phase I 2012 Department of DefenseAir Force
  4. Detecting, Diagnosing and Predicting Impact of High Priority Faults in Electromechanical Actuation (EMA) Systems for Next-Generation Military Aircraf

    SBC: Frontier Technology Inc.            Topic: AF121-185

    ABSTRACT: Frontier Technology, Inc. (FTI) supported by the Moog Aerospace Group will develop and demonstrate PHM technology that will perform real-time prediction of faults, failures, and anomalies in Electro-Mechanical Actuators. The FTI solution is based on anomaly detection technology that has successfully identified seeded faults in flight-configured EMAs using alternate configurations of se ...

    SBIR Phase I 2012 Department of DefenseAir Force
  5. Automated Data Processing for System-of-Systems Performance Evaluation

    SBC: Frontier Technology Inc.            Topic: A10-009

    Typical Army performance tests are extremely complex, involving many independent-but-interacting systems. These systems and their individual data sources are inherently variable. Existing geographically distributed test networks, including the four-stage increment Warfighter Information Network-Tactical (WIN-T) currently being developed and deployed by the Army, provide a possible framework for re ...

    SBIR Phase II 2012 ArmyDepartment of Defense
  6. Improvements in Spacecraft Assembly, Integration and Test

    SBC: Frontier Technology Inc.            Topic: MDA09-021

    As the scale, cost, and strategic importance of Overhead Persistent Infrared (OPIR), space-based sensor programs continue to increase, the need for efficiency in the Assembly, Integration and Test (AI & T) phase of production becomes paramount to mission success. Historically, AI & T periods for large-scale programs such as the Space Tracking and Surveillance System (STSS) comprise a sign ...

    SBIR Phase II 2012 Department of DefenseMissile Defense Agency
  7. Responsive, Pre-launch and On-orbit, Electro-Optical Sensor Characterization and Calibration

    SBC: Frontier Technology Inc.            Topic: AF093-090

    ABSTRACT: Our Phase II approach will further develop a new empirical approach to sensor calibration with the goal of dramatically improving the rapid checkout and immediate usefulness of Operationally Responsive Space (ORS) assets. In Phase I, we demonstrated the concept of non-linear, per-pixel, response compensation models with empirically derived coefficients that corrected the instantaneous ...

    SBIR Phase II 2011 Department of DefenseAir Force
  8. Decision Support Aiding for Human-Systems Acquisition

    SBC: Frontier Technology Inc.            Topic: N092-150

    As the Navy continues to emphasize the Naval Capabilities Development Process for evaluating material and non-material solutions, the importance of quantifying the effects of Human Systems Integration (HSI) continues to increase. The objective of this Phase II SBIR is to provide Navy analysts comprehensive insight into the impact HSI factors have on system level performance and total ownership cos ...

    SBIR Phase II 2011 NavyDepartment of Defense
  9. Human Performance Modeling in the Naval Capabilities Development Process

    SBC: Frontier Technology Inc.            Topic: N07-136

    The objective for the Phase II research is to develop, and integrate computer tools to provide analysis capabilities to examine system acquisition/sustainment issues and address engineering-level and supportability issues quickly, helping fleet managers/operators to prioritize requirements and select best-value investment options. The computer tools will provide capabilities to support a Life Cycl ...

    SBIR Phase II 2011 NavyDepartment of Defense
  10. Adaptive Learning for Stall Pre-cursor Identification and General Impending Failure Prediction

    SBC: Frontier Technology Inc.            Topic: N10A-T008

    Frontier Technology, Inc. (FTI) and Northeastern University propose to investigate and develop an innovative approach to predict stall events of aircraft engines prior to occurrence and in sufficient time to allow the FADEC controller to adjust engine variables. The team will utilize vector quantization and neural network techniques to develop accurate models of engine behavior that will be used t ...

    STTR Phase I 2010 NavyDepartment of Defense

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