Award Data

This Small Business Technology Transfer project will develop a mathematical framework and enabling technologies for context-aware target classification and selection for missile defense systems in the presence of counter-measures and clutter in realistic scenarios. Based on statistical relationship learning (SRL) methodology, the proposed framework can reason simultaneously about multiple entries ...

Supply chain risk management relies on expensive manual processes that are performed infrequently and with a limited set of data. Supply chain managers often operate in a reactive mode, scrambling for solutions to issues that could have been anticipated if more data and continuous monitoring of the supply chain were practical. The supply chain analysis problem is one where the quantity of data dri ...

In this research effort, GTD Unlimited will design tools for efficiently specifying, representing, and analyzing the interactions between control systems in System of Systems (SoS). Our approach will be to model the problem as an uncertain system and analyze the resulting models using control methods. Control methods can be related back to the standard Nyquist criterion for stability, ensuring t ...

Karagozian & Case, Inc. (K&C) and the Georgia Institute of Technology (Georgia Tech) will develop a re-usable, cost-effective, and accurate dynamic characterization methodology capable of measuring the dynamic material properties of various materials of interest under very high strain rates. Materials property data for various ductile materials (e.g., steel and aluminum) are required as input to f ...

Control Theory tools and processes for analyzing the interactions of complex System of Systems (SoS) are lacking, specifically when sub-systems are independently designed and/or higher levels of SoS controls are applied. Integrating these sub-systems into the SoS, can result in dynamic interactions between these sub-systems and the SoS controls resulting in unexpectedly large deviations between ex ...

We propose a novel computational framework for discrimination that incorporates sensor data from observations of the engagement and from kill assessment (KA) that such sensors can provide. The KA information is combined with data from other sensors to improve the discrimination decision and to reduce the probability of correlated shots. Approved for Public Release 16-MDA-8620 (1 April 16)

Missile defense faces the challenges of rapidly maturing and evolving complex threats, possessing capabilities which require the use of all available resources to successfully detect, track and identify the lethal objects. Future performance will rely on multiple sensors such as ground and sea based radars and electro-optical and infrared sensors for target recognition. It is crucial to develop a ...

Establish a radiation-aware analysis capability in a commercial EDA design flow that will enable first-pass success in radiation-hardened by design (RHBD) for DoD ASICs in much the same way that existing EDA design suites ensure first pass functionality and performance success of complex ASICs destined for commercial applications. Layout-aware, calibrated single-event radiation models that captur ...

Fine powder thermal battery cathode materials can exhibit challenging flow properties which makes processing with automated presses difficult.Granulating these powders substantially improves flow properties and reduces the tendency for powder segregation during handling and pressing operations.The properties of Magnesium Oxide (MgO) that lead to good performance in thermal battery separators are n ...

Space Micro and partner institution Arizona State University propose to design and prototype a Programmable Multi-Frequency Transmitter (PMFT) that is compliant with both the Kill Vehicle Modular Open Architecture (KVMOA) and Space Telecommunications Radio System (STRS) standards. The KVMOA maximizes reuse of components and system designs and reduce total ownership costs. The STRS standard allows ...