Award Data

In this effort ALPHATECH will develop algorithms for extraction of purposeful temporal-spatial patterns from moving vehicle data and demonstrate their efficiency on a set of simulated MPA scenarios. We apply unsupervised learning algorithms to find similarities between traffic activities. Traffic activities are constructed using ALPHATECH's multiple hypothesis tracking algorithm and grouping cor ...

In this effort we will design and demonstrate the benefits of an integrated fusion system (IFS) for continuous monitoring of targets. The proposed IFS architecture will ensure that all available sensor data is used to generate a consistent picture of target tracks and activities, and it will enable processing of data from each sensor to be cued based on all available information. We will specify ...

Achieving global awareness by automatically exploiting sensor data will provide tremendous advantage to the warfighter. However, camouflage, concealment, and deception (CC&D) can be effective countermeasures against surveillance systems. The most promising strategies for defeating CC&D exploit multiple sensor modalities, such as foliage penetration (FOPEN) synthetic aperture radar (SAR) and hype ...

recent advances in sensor technology have enabled collection of vast quantities of battlefield information. Warfighters will soon gain global access to this huge volume of information. Rather than construct separate redundant, and inconsistent situation estimates, a Dynamic Database can reduce the data to a comprehensive, self-consistent representation of the environment. This proposal explores ...

This research develops innovative techniques for updating 3D representations of targets used for SAR ATR, e.g., of the type being employed on DARPA's MSTAR program, directly from data. The work will provide a critical bridge between models and data, allowing image exemplars of modified targets to be of immediate use in updating target representations. The proposed work would also extend naturall ...

Arca Systems proposes to initiate the design and development of an intrusion detection system for the GCCS LES (and similar environments). Many current intrusion detection tools are Unix-based, focused on a single host or on a generally homogeneous distributed environment. The notional GCCS LES environment makes extensive use of distributed architecture, using support from the COTS technologies ...

Various diesel reforming methods have been tried to develop an efficient and reliable means of providing hydrogen to fuel cell power systems promising high efficiency and low pollution. The most difficult obstacle has been coking up of reformers. Aspen proposes to solve the coking problem through an approach based on two proprietary technologies: catalytic diesel cracking and hydrogen separati ...

The program objective is to develop novel designs, techniques, and structures to synthesize apertures capable of efficient operation over broad frequency ranges and functions. Conventional apertures are narrowly focused, application specific, and basically single point design. To decrease the cost of antennas, a more universal building block design is required. It would provide a significantly ...

The overall goal of the proposed effort is to develop a fusion process that integrates SAR and hyperspectral sensor data in order to overcome the current performance limitations of single sensor automatic target cueing. In the Phase I effort, we will define a concept of operation for SAR/hyperspectral automatic target cueing. The nature of the imaging domains of SAR and HS sensor as well as the ...

Improved magnetic and electromagnetic sensors covering a wide range of frequencies, 0 to 10kHz, and with extremely high sensitivity are proposed for broad area detection and characterization of underground targets. The sensors can be used for a variety of applications and for different e.m. sources. They can be configured as gradiometers, as vector or scaler sensors and can be used as internette ...