Award Data

This STTR Phase I project proposes novel deep learning models for generating realistic multi-spectral remote sensing imagery, specifically in the infrared (IR) and near-infrared (NIR) bands. The proposed system enables synthesis of semantically realistic imagery and provides parametric control of synthesizing objects-of-interest, type of terrain and land cover, time or season, weather, cloud cover ...

To address the challenge DTRA faces in identifying rare objects of interest to defeat improvised threat networks using multispectral imagery, small business ARiA and research institution Michigan Technological University (MTU) will develop and demonstrate the feasibility of the Generative Augmentation Process (GAP). The Phase I effort will (1) conduct a proof-of-concept study for GAP by developing ...

Asymmetric proposes to develop software and firmware to optimize data exfil throughout Whisper devices. This includes making the Whisper system have additional, tuneable capabilities to increase LPI/LPD characteristics. The current methods utilized by Special Operations Forces (SOF) personnel to maintain secure, covert and reliable data transmission in hostile environments is difficult and mission ...

Sensor systems aboard aircrafts address unique problems and are siloed in their objectives. A data silo is a term used to describe a data system that is insulated from other data systems. While keeping information categorized may lead to easier organization, the costs often outweigh the benefits. In aviation systems, data silos often lead to miscommunication, cognitive overload, and waste. These d ...

In manned aviation environments – both military and commercial – AI support is being developed and researched for ground-based planning and operational decision support. Using AI in real-time with crews poses additional questions and issues. This research will provide the means to understand the measures and requirements to architect potential AI-Agent solutions before implementation. This fea ...

Machine learning algorithms have demonstrated performance on par with or superior to human analysts on large datasets when sufficient training data is available.  For military applications obtaining sufficient, truthed data is always a challenge.  Three approaches have been used for measured data collections to support sensor exploitation programs: coordinated collections, turntable measurements ...

Ultralight Industries Corporation, working with MIT Lincoln Laboratory proposes to assess the feasibility of an adaptable, scalable and efficient digital phased array that allows intelligent simultaneous RF multitasking and rapid iteration of core and tenant capabilities defined in software at the speed of relevance. Through this project, we will assess what is in the art of the possible for a low ...

The Whisper Next Gen WiGig project plans to evaluate optimization opportunities within the IEEE WiGig (60 GHz) standard for use cases as a potential low size, weight, and power tactical ultra-secure communications capability for Special Operations Command (SOCOM). It has the potential to be a highly secure, covert and reliable data transmission link for soldiers or indigenous allies in hostile env ...

The demand for rechargeable energy storage systems with greater specific energy and improved power density continues to increase to support current and next generation soldier-assisting electronics and unmanned aerial, underwater, and ground vehicles (UAVs, UUVs, UGVs). Insufficient electrical power and energy can directly impede military missions by inhibiting infantry and vehicle performance, sa ...

As electronic warfare (EW) permeates down to the small unit operations (e.g., with the proliferation of IoT devices, 5G, demand for multidomain spectrum management, and adversaries who can leverage or attack these components with malice), there is a need to bolster Operator's shared situation awareness (SSA) of the EW space that overlays the physical battlefield to enable a small unit multidomain ...