Award Data

Recent technology advances have enabled the simulation community to achieve greater realism in virtual training environments, including physics-based simulated sensor views. As new methods for sensor view generation are developed, the lack of readily available supporting data to populate these specialized techniques limits their implementation. Currently the capability is not available to efficien ...

The overall goal of the proposed research program is to develop a ruggedized imaging system capable of visualization and analysis of the particle field and product gases in a multiphase blast. This will be accomplished by combining kHz-MHz-rate burst-mode laser technology with tomographic particle field velocimetry (PFV) and new nonlinear particle tracking methods to resolve dense particle fields. ...

As both the response speed and sensitivity of thermal imagers have improved significantly over recent years, new IRSP systems are needed to provide greater dynamic range and faster response speeds. Addressing these issues, as well as producing a cost effective and modular IRSP system will be critical for providing quality scene projection for the next generation of infrared imagers. To address the ...

Truventic proposes to design, build and characterize a 5x5 array of fully functional MEMS-based plasmonic infrared scene projector pixels which operate at multiple wavelengths to support hardware-in-the-loop testing of missile seekers, forward looking IR cameras (FLIR), counter measure simulation and tracking systems. The approach avoids known limitations of resistive arrays and provides high dyna ...

Thermoelastic structures pose a critical challenge to designers due to the inherent design dependence of thermal loading on structural thickness. This is further exacerbated by structural nonlinearity due to in-plane, and more importantly, the out-of-plane bending deformation that further increases the effective loading on the structure. During Phase I of this project, we have added significant ne ...

To address the challenge of long-term tracking, through extended occlusions and significant appearance changes, we propose to continue developing DC-CAT, a Deep Convolutional neural network (CNN) based Confuser-Aware high value target (HVT) Tracker.The DC-CAT system combines a state-of-the-art CNN-based adaptive HVT tracker with a CNN-based pre-trained generic target detector, in a deep-feature-ai ...

ColdQuanta, in partnership with Dr. Zoya Popovic at the University of Colorado at Boulder, proposes to develop a three-dimensional quantum-enhanced radio-frequency (RF) signal sensor and direction finder. Our approach combines Rydberg-atom-based RF electrometry and discrete lens arrays (DLAs) of planar antennas. The DLA will serve as a Fourier optic for an incident wave, and a Rydberg-atom RF elec ...

SOF combat swimmers have a need for the continuous monitoring of each others relative position while diving and for the capability of being able to communicate with each other to help establish a common operational picture (COP).The C3SA system was previously developed under SBIR Topic SOCOM08-001 thru the receipt of both Phase I and Phase II SBIR awards.The C3SA established a stand-alone network ...

This Phase-II STTR research effort is designed to forward the engineering investigation of the dynamics and control of turbulent combustion in high-pressure combustion systems by developing a set of game-changing nonlinear analysis tools that can significantly improve the post-processing speed and intelligent data mining of large numerical or experimental data sets. Moreover, a system based on non ...

Structural reactive materials (SRMs) or multifunctional energetic materials offer the ability to combine the high energy release rates of traditional high explosives with structural strength.When successfully formulated they can lead to light-weight, high-performance and hitherto inaccessible designs of munitions. The key feature of structural energetic materials (SEMs), perhaps even more so than ...