Award Data

Health surveillance is the first line in detecting an epidemic and understanding its causes and progression and preventing a pandemic. It generally consists of systematic collection and reporting of population-based data for the purposes of detecting, characterizing, and countering health threats. While this seems sound in theory, by the time patients present with symptoms, laboratory specimens ar ...

Our team will develop a high-dynamic-range, high-power-handling, and high-survivability high frequency (HF) radio receiver with significant enhancement in intrinsic interference and jamming resistance. HF band covering frequency range between 3 to 30 MHz provides communications with ranges over thousands of kilometers through skywave propagation and offers an alternative to satellite communication ...

To meet the demands of the A19C-T002 STTR solicitation (“Millimeter Waveforms For Tactical Networking”), we propose to develop a millimeter wave handheld radio design which leverages COTS 5G components to reduce cost. To provide flexibility for Army applications, the design will take a software defined radio approach which will provide anti-jamming and enhanced LPI/LPD. Further security will b ...

In order to fully utilize the potential of collaborative navigation and multi-sensor fusion for GPS-denied PNT, QuNav and our academic partner, University of Colorado, propose to develop a collaborative network system that provides resilient PNT solutions in GPS-denied environments for mounted and dismounted platforms, thus providing war-fighters with ubiquitous PNT capabilities. Furthermore, the ...

Lithium Battery Engineering's (LBE) proposal for a unique Terrestrial Positioning System (TPS) uses modulated static magnetic fields as a robust short-range communications medium to create the terrestrial equivalent of a Global Positioning System. The TPS uses terrestrial-based transceiver stations, which are arrayed in a mesh network. The receivers use ultra-sensitive magnetometers based on nitro ...

The US Army aims to integrate multi-modal sensor data streams and advanced AI analytics at the tactical network edge in support of its vision for a future Internet of Battlefield Things. To maintain situational awareness within mission-acceptable levels despite dynamic conditions and infrastructure disruptions, we propose the ConnextEdge framework for resource-aware location-agnostic adaptive AI p ...

Intelesense Technologies (rebranding as IoT/AI), in partnership with Southwest Research Institute (SwRI), proposes to demonstrate an Edge Learning System Orchestration and Management system. The system is distributed and hierarchical adaptation and learning system design through emulations and simulation based on IoT/AI’s work in distributed intelligence “edge as a service” systems that aggr ...

Army tactical operations frequently occur in congested and contested RF spectral conditions, which can impair a system's ability to transmit information over wireless networks. Whether the source of impairment is due to ordinary congestion in the spectrum, malicious jamming, propagation conditions or natural/man-made interference, identifying the source of the impairment is an important step in ad ...

Unprecedented growth in demand of wireless devices has caused overcrowding of the spectrum. Modern Software Defined Radios (SDRs) have to provide satisfactory services while transmitting/receiving in congested and contested environment. In order to do that, complex learning algorithms have to be paired with capable, flexible and wideband hardware.Space Micro and its partner research institution, t ...

This project aims to reduce the size and cost of current AEHF front-end by the integration of a compact beam-steering antenna array. The integration consists of novel antenna design, novel steering technique, and a scalable capable architecture.