Award Data

In Phase I, TSC and the University of Connecticut developed an innovative track handover algorithm which combines estimated rotational motion states with measured radar or IR data to correlate tracks. Rotational motion states are derived from S-band or X-band radar measurements using TSC"s Static Pattern Reconstruction and 3D Radar Imaging algorithms. The Rotational Motion Handover algorithm dem ...

There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terrible morbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditional vaccines have contributed greatly to public health, they have some limitations especially in the context of operati ...

The goal of this program is to design a lightweight optical bench capable of remaining stable under temperature and moisture changes, while isolating the precision optical array from vibrations such as engine noise and air turbulence. By integrating a customizable periodic stack in the bench, vibrations are attenuated more effectively than commercially available mounts. Additionally, the periodic ...

Quallion and the University of South Carolina propose to continue their modeling efforts to develop a more comprehensive LEO simulation model to encompass more varied satellite conditions to meet USG (United States Government) modeling needs.

Department of Defense (DoD) cybersecurity test and evaluation (T&E) uses a variety of cyber event environments throughout the development of a combat system to support fielding more secure, resilient systems in a cost-effective manner. Cyber test environments are used to deploy cyber-attacks and achieve high fidelity feedback on vulnerabilities present in the system without putting operational sys ...

Frontier Technology, Inc. (FTI) and its research partner, University of Florida (UF), propose to update and implement theory, algorithms, and software for fusion of multi-sensor (e.g., RADAR and EO) datastreams, to provide enhanced acquisition, tracking, and discrimination of threat objects in a cluttered multi-target environment. We propose to enhance/extend our successful Phase-I technology to s ...

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 ...

The ultimate goal of this proposed effort is to better utilize disparate sensor data to perform better correlations and lethality assessments through the development of a sensor data fusion system using artificial intelligence (AI) techniques and the concept of extracting features from raw sensor data and reasoning about those features and their hypothetical association with hypothesized objects. ...

Toyon developed a Phase I framework leveraging spatiotemporal image processing algorithms for non-stationary clutter estimation, and nonlinear filtering based Track-before-Detect algorithms for tracking targets. Information is fused across sensors without loss of information due to detection thresholds. Algorithms, when applied jointly, provide a near-optimal solution. In addition, algorithms a ...

New internal actuation technologies and integrated design of guidance-control systems for kinetic kill vehicles are proposed. These actuation technologies can be used for KKV trajectory and attitude control in any speed range, both within and outside the atmosphere. Since the actuators are contained entirely within the airframe geometric envelope, and because no mass expulsion is involved, they of ...