Award Data

The physics generating timing spurs in a high-speed, low-bit depth analog-to-digital converter will be modeled in a machine learning framework to enable both the prediction of spurs and adaptive removal using a linearization neural network.  High-speed implementation of the spur estimation and removal networks will be accomplished.

The Forensic Memory System (FMS) addresses a critical need for wideband sensor systems. Wideband digitizers produce copious data samples that need considerable interface bandwidth to transport and distribute real-time data to heterogeneous compute resources performing signal analysis. The initial signal analysis component, signal detection for example, will indicate a signal of interest (SOI) is p ...

Additive manufacturing (AM) technology offers the capability to use multiple glass materials and to print complex freeform shape designs and gradient index (GRIN) optics.  Although AM is widely used to print commercial 3-dimension metal and plastic/polymer parts, there are no viable commercial solutions for AM of inorganic transparent glasses for high-quality optical components. The proposed Phas ...

Service Robotics & Technologies (SRT Labs) was competitively selected for the Department of Navy’s SBIR ADAPT Phase II Program for Facility Health Monitoring and Prioritization, where SRT Labs worked with the objective of determining the parameters of a successful smart facility deployment in improving workflow, reducing machine and shop downtime, and establishing the needed criteria to uptake a ...

Expedition Technology, Inc. (EXP) is developing Osiris, a modular suite of complementary radio frequency (RF) spectrum awareness applications that simplify and accelerate the way electronic systems adapt to novel, threatening and evolving uses of spectrum. Osiris embodies a new approach to spectrum sensing and signal processing based as much on learning as from expert engineering. This approach en ...

Currently, towlines for towed aircraft decoys are experiencing catastrophic failures due to the extreme temperatures produced from the afterburners during high Angle of Attack (AOA) maneuvers. The hot exhaust produces temperatures (>650°C) that cause current reinforcing members to thermally-oxidize and degrade to the point of towline separation. Additionally, these high heats are leading to failu ...

The Data Analytics for Readiness Evaluation (DARE) system defines a Resource Description Framework (RDF) ontology for Learning Managements Systems (LMS) to align user collected data into a common framework, including data gathered from Moodle LMS and interactions with the AN/SQQ-89 A(V)15 system.  This aligned data is captured in a semantic database and linked using inference techniques.  This f ...

Current composite repair processes for aircraft are labor intensive, require specialized training, and utilize expensive materials with limited shelf life. The US Navy is interested in exploiting recent advances in automated additive manufacturing (AM) technologies to develop a portable, automated system that consistently and efficiently performs high-quality repair of composite aircraft structure ...

The Sequential Phase II builds upon the work completed under Army SBIR Topic #A19-071, Weather Situational Awareness in the Cockpit, which focuses on providing graphical environmental intelligence (EI) in the cockpit of tactical aircraft.  Under this subsequent Phase II effort, PEMDAS proposes to develop a prototype Distributed Maritime Operations – Environmental Intelligence (DMO-EI) system to ...

The objective of this Navy Phase II STTR program is to design, develop and manufacture energy scavenging modules for “small unit power” architecture. The energy scavenging modules (ESMs) developed in this program will be able to capture the magnetic fields surrounding electrical power lines and electrical equipment and convert their energy into electricity. The ESMs will be designed to have th ...