Award Data

In this program, we will develop a novel high acceleration and hyper velocity inertial measurement unit. This unit will be based on our previous record setting work on compact optical gyroscopes.

A program to develop a compact, MLA-based, SWIR-MWIR hyperspectral seeker is proposed. The proposed Compact Hyperspectral Imaging Target Seeker (C-HITS) builds upon Surface Optics’ real-time hyperspectral imaging activities, including our 3D full-motion video spectral imaging (FMV-SI) technology and our MIDIS hyperspectral image processor. Simultaneously sampling 16 or more spectral bands from 1 ...

Current Hypersonic projectile systems are being developed to collide with an enemy ballistic missile. Cyan Systems has developed very high definition EOIR imagers, that have the potential to create a compact precision strike weapon. The Hypersonic Electro Optical Seeker System (HEOSS) represents a revolutionary capability for Hypersonic Vehicles (HSVs) because of the extreme resolution, sensitivit ...

Active electronically scanned antennas (AESA) for radar have the potential to be low-cost provided the array architecture is designed for production using commercially available manufacturing processes. Most modern radar antennas employ some form of nulling to reduce sidelobes in key steering directions. For a transmit AESA the most cost effective implementation is to use phase only to steer the m ...

Boeing Defense Systems is developing a guided hypervelocity projectile (HVP) and associated integrated launch package assembly. The nosetip and fixed and rotating fin components present particular challenges due to the high aeroheating and dynamic pressure loads and associated temperatures, thermal shock, and oxidizing conditions. Low drag requires sharp tip and edge features on the nose and fins, ...

Recent advances in aeronautical design and development has contributed to a significant increase in the vulnerability of the warfighter’s land and sea-based assets from threat-targets exhibiting unpredictable, high-dynamic motion, evasive control, and countermeasure usage. The primary defensive strategy against these targets is a fire control radar system. These systems typically use a sing ...

PhysicsAI proposes to develop a framework for using deep reinforcement learning to create optimal training data from simulated imagery in order to train machine learning models with improved accuracy, increased robustness, and which support few/zero shot detection for rare objects. Specifically we plan to extend the current state-of-the-art by (1) formulating the task of generating an optimal sim- ...

The Strategic Capabilities Office of OSD is seeking to use machine learning to produce a robust classification capability using ISAR for a relevant radar sensor system. Areté Associates proposes an advanced machine learning approach to perform robust classification with a path towards real-time classification performance. The proposed approach employs a robust method to generate a valid, balanc ...

Toyon Research Corp. proposes to develop innovative algorithms to perform automatic target detection (ATR), localization, classification, and sub-classification of maritime targets in ISAR imagery. The proposed algorithms are based on a careful analysis of reflection-mode ISAR imaging systems that aims to address complications that are unique to the images produced in this modality, such as poor r ...

EMSI proposes to demonstrate the feasibility of extending our machine-learning-based SAR classifiers to provide real-time high confidence maritime target classification from ISAR data collected and processed onboard airborne ISR platforms. To this end, we will modify our classifier architectures to accommodate target motion and ISR platform constraints, simulate realistic ISAR data sets, and deter ...