Award Data

The problem addressed in this effort is to automatically learn historical ephemeris space catalog time, position, and velocity entity track update error uncertainties (i.e., without track error covariances) and to automatically (e.g., without expert event labeling) produce: – unmodeled non-gravitational space catalog update flags – abnormal unmodeled catalog update flags with abnorma ...

Through the execution of our Phase 1 effort, Nutronics, Inc. and Montana State University developed an improved means to optimize the Pellizzarri cost functional for coherent imaging using digital holography. Our algorithm developed during the Phase 1 effort accelerates convergence times by a factor of 20-40 for the majority of scenarios evaluated. Our proposed Phase 2 effort has a two-fold focus: ...

A growing number of electronic applications within the Air Force, such as devices for power conditioning and distribution, RF power amplification, and high power lasers have been identified for increased heat transfer requirements to maintain operational temperatures at acceptable levels while increasing the performance through higher power. However, this same target research that requires increas ...

This proposed Phase I STTR effort will be a collaboration between OmniScience LLC and the University of Colorado Colorado Springs (UCCS) Vision and Security Technology (VAST) Lab. The primary objective of this Phase I effort is to demonstrate feasibility of a brain computer interface (BCI) controller for augmented/virtual reality (AR/VR) and conventional screen displays, referred to herein as an A ...

Small Satellites are a rapidly growing technology and of great interest to both commercial and DOD customers. With the increased access to space and the maturation of small satellites, the mission capabilities have expanded significantly. Along with these expanded capabilities are a need for new approaches to satellite communications with increased capabilities. Blue Cubed is working on developing ...

A Virtual Reality for Multi-Int Deep Learning modeling and simulation environment is proposed which draws from proven advances in modeling and simulation, Big Data technologies and industry leading machine intelligence platforms. RF Physics-based models and simulators focus the environment in the RF domain. A design model emphasizes Big Data control, archive, management, and analytics maintaining ...

Through simultaneous control of the polarization and frequency modulation of an outgoing continuous-wave (CW) sodium guide star laser beam, demonstrate a new concept to maximize the resonant backscattered flux per watt of projected laser power, taking advantage of enhancements from both optical pumping of mesospheric sodium atoms to a trapped transition and alignment of the atoms with the geomagne ...

FIRST RF will lead the Phase II effort and will leverage the system architecture of the MAINLINE system and integrate multifunctional SiGe integrated circuits (ICs) developed by The University of California San Diego under the supervision of Prof. Gabriel Rebeiz. The SiGe devices developed during the Phase II effort will significantly reduce the power requirements of the MAINLINE system allowing f ...

The Alphacore team will develop new advances in onboard processing hardware to enable the Air Force to consider the revolutionary benefits of computational imaging systems for space, e.g., computational imaging systems that combine both optical and computational elements in ways that have the potential to outperform traditional (all-optical) imaging systems. The resulting computational imaging sys ...

Missiles experience a wide range of thermal and mechanical environments due to the large variety of flight profiles. Since the missile radome is often the aerodynamic leading edge, it undergoes significant thermal and mechanical loading. The radome must survive the dynamic pressure loading, thermal shock and environmental erosion from airborne particulates (rain / sand) while performing as an elec ...