Award Data

Overhead Persistent Infrared (OPIR) platforms observe challenging threat and scene phenomenology. Toyon Research Corporation developed an image processing framework for clutter estimation/suppression and track-before-detect to jointly detect and track targets. The Target Extraction and Conjoint Tracking application, developed under initial Phase II funding and demonstrated using real-world data so ...

The goal of the Information Assurance Run-time Auditing (IARA) Phase I project was to provide a framework that promotes the specification of software system monitoring, audit, analysis, and threat mitigation capabilities in large scale software intensive systems (LSSIS). IARA was designed to promote software assurance by incorporating novel tools that help certify the operations of untrusted soft ...

Thermally induced fatigue and residual stress introduced during fabrication are sources of failure in microelectronics, which raises reliability concerns for MDA and its system integrators. CFDRC has teamed with experts in the reliability of microelectronics packaging to develop a physics based modeling and testing protocol to correlate material properties and thermal loading conditions to stress ...

Under the Phase I effort, a set of algorithms were developed/enhanced that, when integrated into a fused track and characterization schema, are capable of realizing the full potential performance afforded by the battle manager having multiple sensors. dBWager is a multi-sensor measurement correlation algorithm that provides highly accurate state vector estimates and provides the correlation of e ...

deciBel Research, Inc. and the Electrical Engineering Department at the University of Mississippi - the deciBel Team - proposes to continue to develop and mature threat physics based classification, track association/track correlation, and dynamic attributes determination threat characterization algorithms that effectively and efficiently fuse data from multiple sensors. The classification algorit ...

In order to counter emerging threats from the Middle East and Southeast Asia, the Ballistic Missile Defense System (BMDS) is acquiring new sensor (e.g. AN/TPY-2 and PTSS type) and weapon technology (SM-3). As these new technologies are fielded, the BMDS's Command, Control, Battle Management and Communication (C2BMC) component must be able to correlate objects between multiple sensors. Inher ...

ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...