Army STTR follows AFC’s topic release schedule but partners with a university, federally funded research and development center, or a qualified non-profit research institution as part of their contract.
Businesses should utilize Canonical Correlation Analysis to achieve high levels of interference suppression for tactical communications that support military networks’ underlay wireless communications.
Underlay Communications with Wide SINR Range Read More »
The U.S. Army seeks innovative solutions utilizing phase change materials tailored for thermal regulation within a Closed-Circuit, Self-Contained Breathing Apparatus that reduces the thermal burden, enhances operational longevity and improves Soldier efficiency.
Phase Change Materials for Enhanced Warfighter Survivability Read More »
Businesses must demonstrate a mission-configurable miniature, deployable sensing capability.
Distributed Multithreat Microsensor Read More »
The Army wants drone swarm detection using artificial intelligence. Businesses should develop neural network architecture and learning processing algorithms for drone identification based on ultra-fast neural networks with low power consumption.
Drone Swarm Detection Using Artificial Intelligence Based on Ultrafast Neural Networks Read More »
To date much work has been invested in active ranging. However, laser-based probes are detectable and will leave the operator vulnerable, particularly at night. Commercial applications, particularly those for self-driving vehicles, use a combination of both active and passive sensors.
Passive Ranging for Fire Control under Day and Night Conditions Read More »
The Army’s Long Range Precision Fires mission expands the current portfolio of conventional artillery to advanced munition technologies with extended range capability (>70km). Extended range requires the projectile to fly to higher velocities and altitudes as well as longer flight times.
Thermal Protection Coating for Artillery Projectiles Read More »
The use of digital image processing to enable target detection, classification, recognition and identification, as well as targe state estimation for fire control solutions is computationally intensive. It requires significant processing power, which in turn requires significant electrical power.
Optical Computing Network Read More »
The current state of the art utilizes conventional manufacturing technologies such as computer numerical controlled (CNC) machine tools such as mills, lathes, and plasma cutters, which are augmented by various manually operated metal working machines to fabricate metal components.
The U.S. Army must develop highly maneuverable hypersonic weapons that can survive high-G shock loads and harsh aerothermodynamic environments in a GPS-denied environment. To enable these requirements new materials and new manufacturing methods must be developed. There has been increasing desire to develop vehicles and projectiles that travel at the speed of sound and beyond.
Joining of Dissimilar Materials for Hypersonic Applications Read More »
The United States Army has a need to develop high-fidelity, computationally efficient solvers for the aerodynamic analysis and design of vehicles ranging from rotary-wing aircrafts to medium/long-range hypersonic projectiles. The CREATETM -AV Kestrel team has been developing a comprehensive suite of codes with a combined on-body/off-body computational approach for the prediction of flows around such vehicles for over a decade.
Modeling Tools for Hypersonic Flight Read More »
