Award Data

In this Phase I STTR project for MDA, Vectraxx of Glen Allen, Virginia will address the critical problem of dealing with pre-intercept debris fields and launch family clusters as seen by IR sensors. This is an essential element to the ascent phase component of the MDA"s Ballistic Missile Defense System. The objective of this R & D effort is to characterize pre-intercept debris field and leverage ...

OptTek Systems, Inc (OptTek), proposes an affordable, effective UQ capability for both legacy and new BMDS M & S. The OptTek Team includes research institution partner Oak Ridge National Laboratory (ORNL) and subcontractor RTSync Corporation (RTSync). The proposed BMDS M & S UQ capability maximizes insertability into existing and future MDA BMDS M & S-supported Event processes, analysis methods, a ...

AeroSoft, with the USAFA Laser and Optics Research Center proposes to create an extensive and thorough Verification and Validation (V & V) Program for anchoring physics based modeling software for static and flowing DPAL systems. During Phase I, a review of existing experimental programs will made and used for preliminary validation with the GASP software suite. Once deficiencies in the current e ...

The development and integration of three unique and innovative algorithm prototypes into a"Fused Track and Characterization Schema"are proposed. This Schema will encompass the determination of signatures and characteristics of objects that can be identified by RF and EO/IR Sensors in order to enable multi-sensor data fusion and correlation. The first algorithm, the"3D Pose Estimation"Algorithm, p ...

This project will develop a statistical-relational framework and enabling technologies for context-aware object classification and selection. The proposed framework is capable of reasoning about the scene as a whole while incorporating the entire corpus of available information including features and classification labels from heterogeneous sensors and properties of other objects in the scene. The ...

Presently the missile defense systems are using a reactive and program-centric framework for assessing industrial base risk. The Phase I effort focused on developing a wide and deep network algorithm using Industrial Product-Support Vendor (IPV) Gen II program for predicting the probability of failure. The proposed Phase II effort leverages the Phase I work and will focus on three main goals:(1) I ...

Fine powder thermal battery cathode materials can exhibit challenging flow properties which makes processing with automated presses difficult.Granulating these powders can substantially improve flow properties and reduce the tendency for powder segregation during handling and pressing operations.Additionally, the properties of MgO that lead to good performance in thermal battery separators are not ...

An advanced hit detection technology is needed for MDA that can report impacts at hyper-velocities and at multiple hit locations. We present a technology with a high level of performance that leverages decades of hit technology experience and utilizes existing technologies developed under previous efforts. Our technology offers a low latency non-interpolated direct indicator of multiple hit locati ...

FreEnt Technologies, Inc., A2Z Innovations, Inc., and the University of Alabama Aerospace Research Center (UAH/ARC) have teamed together to design, develop, and perform ground-based-demonstrations of a High-Speed Simultaneous Multiple Object Detection (HS-SMOD) System for MDA. The HS­SMOD system uses a simple but innovative technique of a passive fiber-optic grid and high-speed COTS opto-electr ...

Based on the results of our Phase I work, one significant barrier to optimizing battery performance lies in understanding the relationship between bulk solids and particle flow properties and the flow into the die. Our hypothesis: an increase in quality batteries production can be achieved if powder preparation process can be optimized and the die filling process controlled. We feel that control o ...